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International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
DOI : 10.5121/ijdps.2010.1212 142
REDUCING HANDOVER DELAY BY PRE-
SELECTIVE SCANNING USING GPS
Debabrata Sarddar1
, Joydeep Banerjee1
, Jaydeep Ghosh Chowdhury1
,Ramesh
Jana1
, Kaushik Kumar Nundy2
, Utpal Biswas3
, M.K.Naskar1
1
Department of Electronics and Telecommunication Engg, Jadavpur University,
Kolkata – 700032.
dsarddar@rediffmail.com, jogs.1989@rediffmail.com,
jaydeep197@gmail.com,mrinalnaskar@yahoo.co.in
2
Department of Electronic and Computer Engineering, Hong Kong University of
Science and Technology. Clear Water Bay, Kowloon, Hong Kong SAR, China.
kknundy@ieee.orgart
3
Department of Computer Science and Engg, University of Kalyani, Nadia,
West Bengal, Pin- 741235,
utpal01in@yahoo.com
Abstract
IEEE 802.11 based mobile communication towers is used very much in many personal and industrial
purposes as it provides a continuous connectivity to Mobile Nodes (MNs) and allows them to change their
attachment point from old Access Point (A)P to new AP while needed. But one main problem of
continuous connectivity is handover latency which consists of scanning, authentication and re-association
phases. Scanning is the most time consuming part of handover process. In this paper, we introduce a pre-
scanning mechanism using Global Positioning System (GPS) to reduce handover delay. In our method,
scanning is completed almost before actual handover starts. From the simulation results, it can be seen
that our proposed mechanism reduces handover delay by a great deal.
KEYWORDS
IEEE 802.11, GPS, handover, Pre-scanning.
1. INTRODUCTION
IEEE 802.11b based wireless and mobile networks [1], also called Wi-Fi commercially, and
are on a demand for their extensive range of applicability, economical rates and applicability.
But due to their limited coverage range, it results in frequent handoffs, even in moderate
mobility scenarios. Handoff, an inherent problem with wireless networks, particularly real time
applications, has not been well addressed in IEEE 802.11, which takes a hard handoff
approach [2]. Here a mobile host (MH) has to break its connection with its old access point
(AP) before connecting to a new AP, resulting in prolonged handoff latency called link
switching delay. Now-a-days, soft handoff procedure is in use. Here a mobile node is
connected to its old AP till it makes connection with the new AP. This effectively reduces the
packet losses incurred by hard handoff. A schematic diagram showing hard and soft hand off is
given in Figure 1.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
143
Figure 1. Diagram showing mechanism of hard and soft handoff
In recent years, there are many wireless technologies being implemented starting from 2G and
3G cellular system (e.g. GSM/GPRS,UMTS,CDMA2000), metropolitan area networks (e.g.,
IEEE 802.16,WiBro), wireless local area networks WLANs (e.g., IEEE 802.11a/b/g, Hiper-
LAN), and personal area networks (e.g. Bluetooth). All these wireless networks are
heterogeneous in sense of different radio access technologies, the communication protocols that
they use and the different administrative domains that they belong to. The actual trend is to
integrate complementary wireless technologies with overlapping coverage so as to provide the
expected ubiquitous coverage and to achieve the Always Best Connected (ABC) concept.
IEEE 802.11b standards have become increasingly popular and are experiencing a very fast
growth upsurge. They are widely being deployed for variety of services as it is cheap, and allow
anytime or anywhere access to network data. However, they suffer from limited coverage area
problem [3] and it is necessary to use this technology in the most prudent manner.
A Wireless Local Area Network (WLAN) links two or more devices using some wireless
distribution method (typically spread-spectrum), and usually provides a connection through an
access point to the wider internet. This gives users the mobility to move around within a local
coverage area and still be connected to the network.
Essentially, a WLAN is an extra backbone to the connection between a mobile client and an
access point, which transmits and receives radio signals between them. An access point can be
either a main, relay or remote base station. A main base station is typically connected to the
wired Ethernet. A relay base station relays data between remote base stations, wireless clients or
other relay stations to either a main or another relay base station. A remote base station accepts
connections from wireless clients and passes them to relay or main stations. Connections
between "clients" are made using MAC addresses.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
144
The entire handover procedure can be divided into scanning, authentication and re-association.
In the first phase, the mobile node (MN) scans for AP’s by either sending Probe Request
messages or by listening for beacon message. After scanning all or specified number of
channels, an AP is selected which has the frequency channel with the highest Received Signal
Strength Indication (RSSI) and Carrier to Interference (CI) ratio. Then the selected AP
exchanges authentication messages with the MN. Finally, if the AP authenticates the MN, it
sends Re-association Request message to the new AP and handover gets accomplished. The
handover region between two approximated hexagonal coverage area cells for mobile
communication is shown in Figure 2 (figure taken from Mobile- man).
Figure 2. The handover region between two approximated
hexagonal coverage area cell
Handoff delay is the time taken to complete the handoff between two cells. There are three steps
encompassing this delay. They are probe delay, authentication delay and re-association delay.
Probe delay is the time that MN takes to complete a scan of available networks and to build its
priority list. It is required to send somewhere between 3 to 11 messages in order to complete
this task. Authentication delay is the time taken by the MS for re-authentication to the AP as
chosen from its priority list. Depending on the type of authentication, either 2 or 4 packets need
to be exchanged. Re-association delay is the time taken by the MS to signal the AP that the
handoff is complete. It is required that a minimum of 2 packets be exchanged. 90% of the
handoff delay comes from channel scanning. The range of scanning delay is given by the
equation:
where N is the total number of channels according to the spectrum released by a country, Tmin is
Minimum Channel Time, Tscan is the total measured scanning delay, and Tmax is Maximum
Channel Time. The total handoff process is given in Figure 3.
Considering heterogeneous wireless networks such as B3G or 4G networks, with the BSs in the
cellular network with one access technology and APs from WLANs using a different one, we
can say that a vertical handover (VHO) is the mechanism by which an ongoing connection is
transferred from one BS to an AP and vice versa.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
145
VHO can be classified in two categories namely upward-downward handover techniques and
imperative-alternative handover techniques. An upward VHO occurs from a network with small
coverage and high data rate to a network with wider coverage and lower date rate. On the other
hand, a downward VHO occurs in the opposite direction. As an example for this classification
let’s consider the case of two of the most important current wireless technologies: 3G cellular
networks and WLANs. The WLAN system can be considered as the small coverage network
with high data rate while the 3G cellular system is the one with wider coverage and lower data
rate.
An imperative VHO occurs due to low signal from the BS or AP. In other words, it can be
considered as an HHO. The execution of an imperative VHO has to be fast in order to keep on-
going connections. On the other hand, a VHO initiated to provide the4 user with better data-rate
is called the alternative VHO.
One of the most important reasons of handoff failure is the handoff latency caused by channel
scanning and excess wireless traffic. Many measures have been taken in order to minimize
handoff failure, but handoff failure is still an issue unsolved in the cellular world. Here we
propose to minimize the handoff failure probability by effectively placing a WLAN AP in the
handoff region between two neighbouring cells. We also perform the channel scanning
(required for horizontal handover between the two base stations) within the WLAN coverage
area, thus minimizing the handoff failure due to scanning delay.
Figure 3. The total handoff procedure with proper sequence of
the steps
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
146
1.1.5. GPS system
To generate a GPS map, the MN with GPS generates an AP map while it travels within a
network. The MN records the latitudes and longitudes of the neighbour Access Point and used
channel of each AP by Basic Service Set ID (BSSID). When a MN enters into a new network, it
downloads its GPS map from server. By these AP map and GPS map, the minimum distance
between MN and each neighbour AP can be found from server. Certain APs whose distance
from MN is less than threshold are chosen as neighbours and AP’s co-ordinates, IEEE 802.11
channel corresponding to that AP, AP’s Service Set ID(SSID) and IPv6 prefix are statically
configured. By these AP and GPS map, we can locate the MN’s position in a network and
whether a MN moves or not. Basically we can calculate the distance between two points in a
network by GPS.
Let us denote the previous and the current co-ordinates of an MN as (lat1, long1) and (lat2,
long2) respectively. Considering R (=6371 km) as the radius of the earth, the distance d between
the two points is calculated by the formula:
haversine(d/R)= haversine( lat)+cos(lat1)x cos(lat2) x haversine( long)..........................(2)
Where the haversine function is given by haversine(x) =sin2
(x/2). Let h denote the
haversine(d/R). One can then solve for d by either simply applying the inverse haversine or by
using the arcsin function d=R x haversine-1
(h) =2R x arcsin( ). If d is greater than 1 meter, we
consider that the MN has moved and has to send to the GPS server a LU message, which
includes the identity of its current AP and its current co-ordinates. The MN can know its
position information from GPS within an error of 1-2 meters. With prediction it is possible to
reduce latency and packet loss. Thus GPS allows us to anticipate movement calculation with the
help of which the need to wait for beacon signals from other FAs is eliminated. Also handoff
target areas are discovered in advance.
Here we propose a pre-scanning mechanism using GPS by which we can almost eliminate
scanning part of handover delay because we complete scanning almost before MN enters into a
new cell. In section 1.1 we discuss on IEEE 802.11b handover procedure. We divide the rest of
the sections as follows. In section2 we describe our related work and in section 3 we propose a
new scheme of pre-scanning using GPS. In section 4 we demonstrate simulation results and in
section 6 we shall give a brief conclusion
2. RELATED WORKS
In real-time application, many scientists have proposed many mechanism to improve handover
latency in IEEE 802.11b based networks. In [2] and [3] many techniques to reduce handoff
latency as well as packet loss are described. In [4] a common method to decrease handoff delay is
proposed. In [5] authors proposed a location-aided algorithm to manage handover between
WLAN and GPRS network. Depending upon velocity, direction and on-going traffic of MNs, it
can estimate the time when a handover is needed. In [6] an MN generates an AP map to use it for
handover in a test aided wireless network.
In [7] authors proposed a pre-scanning scheme using Neighbor graph cache memory. If MN has T
time before handover, and scanning time is Ts. Then total no of times cache is updated with
neighbor graph is n=T/Ts. Scanning delay in this mechanism depends upon n. This delay will be
minimum if the probability of n being an integer is greater.
In [8] a pre-authentication mechanism using GPS is proposed. In their scheme, authentication is
completed during scanning phase. Therefore handover delay can be reduced.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
147
In [9] the authors used a caching scheme to generate a list of MAC addresses of APs adjacent to
current. In [3] a selective scanning mechanism using neighbour graph is proposed. There
scanning delay has been considered as ‘the time from first probe request message to last probe
response message’. Thus client’s processing delay is neglected. In their mechanism, scanning
delay is:
Ts=N’*rtt+α
Where Ts=scanning delay
N’=number of potential channels
Rtt=round trip time
α=message processing time.
3. PROPOSED METHOD
We are proposing a scheme named “PRE-SELECTIVE SCANNING WITH GPS (Global
Positioning System)” to reduce the scanning delay which is 90 percent of whole handover delay.
Our scheme has the advantage of selective scanning. There are 14 channels used to be scanned.
But only first 11 channels of them are used by IEEE 802.11b. But 1,6,11 number channels are
not overlapping; therefore most of APs are likely to operate on these three channels. We also
use pre-scanning mechanism where we can complete the scanning phase almost before handoff
such that scanning delay will not be included in handoff delay. In this way, we can reduce
handoff delay drastically. We have also used GPS to calculate the distance between the Mobile
Node (MN) and the best AP in the old AP’s neighbourhood area when the MN moves within
old base station’s cell. We describe our proposed work in the algorithm form below.
1. After call setup the mobile node will scan once and calculate the scanning time Ts
2. If the MN gets the APs after scanning
2.1. Select the best AP with best signal quality and try to associate with that AP
/* For this case calculate the distance of the MN from nearest AP*/
/* Let the distance between MN and the signal boundary of its nearest AP be s*/
/* Let the average velocity of the MN be v*/
/* Let the average handoff latency as stated by previous work be Ts*/
/* If the MN goes to that AP through the shortest path, then it needs s/v time. In that case MN
will have T=s/v time before handoff. Therefore in that case ratio of T and Ts is n=T/T*/
2.1.1. If n=1 or n<1
2.1.2. MN will scan selectively immediately and jump to srep 5
2.1.3. Else
2.1.4. Jump to step 2.1.1
2.2. Else
2.3. Jump to step 2
2.4. End
2.5. Authenticate with the new AP
2.6. Re-association
/* Handover complete*/
So, in that case, n=1 means we have time equal to a scan-time before handoff. So, if we can start
scanning at n=1, we can complete scanning phase before handoff. If otherwise unfortunately we
fail to recognize where n becomes 1 and n will be less than 1, then we have to start scanning
immediately though we can’t complete scanning before handoff. But we can reduce scanning
delay very much also in that case.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
148
So, here if we can complete the whole scanning phase before handoff, then we can eliminate the
scanning phase from handoff delay. Then the only delay will be due to authentication, re-
association and processing of devices. The above algorithm is also shown in the flow chart
representation in Figure 3.
4. EXPERIMENTAL RESULTS AND SIMULATIONS
To simulate our proposed algorithm, we have found a formula to find scanning delay as function
of actual call time before handover. So at every interval of time Ts/100, minimum change of n
may be 0, and maximum change of n is 0.1.
So the average change of n = (0+.01+.02+.03+.04+.05 +.06+.07+.08+.09+0.1)/11
=0.05.
So at every interval of time Ts/100, n can be averagely changed by 0.05.
Figure 4.Flow Chart of Pre-scanning Algorithm Using GPS
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
149
Let us assume, actual call time before handoff needed is t. So N=t/Ts. If our scheme is applied,
then one time will come when n will be just less than 1, in that time the value of n will be:
n=N-.005*nearest upper integer of (200*(N-1)).
And the scanning delay will be
Sd=Ts-t+.005*Ts* nearest upper integer of (200*(t/Ts-1)).
For choosing the value of Ts we can have different combination of values. If we use Basic
active scan in our pre-scanning scheme, then Ts=332ms according to [9]. If we use fast active
scan in our pre-scanning scheme, then Ts=32.36ms according to [5]. If we use basic selective
scan in our pre-scanning scheme then Ts=129ms according to [3]. If we use selective scan using
cache in our pre-scanning scheme, then Ts=3ms according to [8].
To evaluate our proposed scheme, we simulate all these four mechanism- basic active scan, fast
active scan, basic selective scan, and selective scan using cache.
So, from figure 5, 6, 7 and 8, we can realize that the effective delays are lesser than the previous
value because of pre-scanning. The simulation results indicate that the average delays for basic
active scanning, fast active scanning, basic selective scanning and selective scanning using
cache are .825ms, 0.08ms, 0.35ms and 0.0075ms respectively. So if we use our proposed pre-
scanning mechanism, handover delay can be reduced by a great deal.
Figure 5.Scanning delay for basic active scan Figure 6. Scanning delay for fast active scan
(Ts=332ms) (Ts=32.36ms).
Figure 7. Scanning delay for basic selective Figure 8. Scanning delay for selective scanning
scanning (Ts=141ms) using cache (Ts=3ms)
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
150
5. CONCLUSION AND FUTURE WORKS
The new introductions in our paper are connoted as follows. Firstly, we have used just 1, 6, 11
number channel for scanning as most of APs prefer to operate on these three channels because
they are not over-lapping. This can reduce scanning delay by a great deal. Secondly, we have
proposed a special pre-scanning mechanism by which we can complete scan almost before
actual handoff. Thirdly, scanning has not been done many times; it has been done once just
when it is needed. Thus we can reduce power consumption. Finally, we have used GPS instead
of neighbour graph as GPS is much efficient. Thus we can reduce packet loss very much.
But we can not reduce authentication delay as well as re-association delay. Future simulations
may reduce these delays using more powerful algorithm. We have described a pre-scanning
mechanism using GPS that supports IEEE 802.11 based mobile communication models in this
paper. By this mechanism we can reduce scanning delay very much. As 90% of total handover
delay is contributed by scanning phase, therefore our method can reduce handover delay by a
great deal.
REFERENCES
[1] Wireless LAN Medium Access Control (MAC) and Physical Layer(PHY) Specifications,”
IEEE Standards, 1999
[2] Wankawee Puangkor and Panita Pongpaibool. ‘A Survey of Techniques for Reducing Handover
Latency and Packet Loss in Mobile IPv6’.
[3] H.S. Kim, S.H. Park, C.S. Park, J.W. Kim, S.J. Ko. “Selective Channel Scanning for Fast
Handoff in Wireless LAN using Neighbor Graph”. In proceedings of the 9th
International
Conference on Personal Wireless Communication, 2004, pp.=194-203.
[4] Ping-Jung Huang and Yu-Chee Tseng.‘A Fast Handoff Mechanism for IEEE 802.11 and IAPP
Networks’. Vehicular Technology conference, 2006.VTC 2006-Spring.IEEE 63rd, vol 2, pp
966-970.
[5] J. Pesola and S. Pokanen, “Location-aided Handover in Heterogeneous Wireless Networks,” in
Proceedings of Mobile Location Workshop, May 2003.
[6] In-Su Yoon, Sang-Hwa Chung, and Tae-Hoon Kim. “A fast handover method for IEEE802.11
wireless networks using combined GPS and SNR”.
[7] D. Sarddar, T. Jana, K. Mandal, T. Patra, U. Biswas, Prof. M.K. Naskar. “Pre-scanning Mecha-
nism to Reduce Handoff Latency With the Help of Neighbor Graph”.
[8] D. Sardar, J. Banerjee, S. K. Saha, U. Biswas, M.K. Naskar. “An Improved Handoff Latency
Scheme Using GPS Based AP Map”..
[9] S. Shin, A.S. Rawat, H. Schulzrinne. “Reducing MAC layer Handoff Latency in IEEE 802.11
Wireless LANs”. In proceeding of 2nd
International Workshop on Mobility Management and
Wireless Access Protocol, 2004, pp 19-26
[10] M.C. Hsia, Chunhung R. Lin, “Low Latency Mobile IP Handover Based on Active Scan Link
Layer Associated FMIPv6”. In proceeding of Journal of Information Science and Engineering
25, 2009, pp=235-250.
Author Biographies
Debabrata Sarddar is currently pursuing his PhD at Jadavpur University. He completed his
M.Tech in Computer Science & Engineering from DAVV, Indore in 2006, and his B.E in
Computer Science & Engineering from Regional Engineering College, Durgapur in 2001. He
was earlier a lecturer at Kalyani University. His research interest includes wireless and mobile
system.
International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010
151
Joydeep Banerjee is presently pursuing B.Tech Degree in Electronics and
Telecommunication Engg. at Jadavpur University. His research interest includes wireless
sensor networks and wireless communication systems.
Jaydeep Ghosh Chowdhury is presently pursuing B.Tech Degree in Electronics and
Telecommunication Engg. At Jadavpur University. His research interest includes wireless
sensor networks and wireless communication system.
Ramesh Jana is currently pursuing his Master of Engineering in Electronics and
Telecommunication Engineering from Jadavpur University. He completed his B.Tech in
Computer Science and Engineering, from Kalyani University in 2003. Mr. Jana has been a
lecturer at the Bhadrak Institute of Engineering and Technology from 2004 to 2009. His
fields of interest include wireless sensor networks and computer networking.
Koushik Kumar Nundy (M’09) is currently pursuing his Master of Science in
Telecommunication from Hong Kong University of Science and Technology. He completed
his B.Tech in Electronics and Communication Engineering, from the National Institute of
Technology, Durgapur in 2010. He is a Technical Advisor with Thinkbiosoln. Mr. Nundy is
an openSUSE ambassador. He received the National Talent Search Scholarship in 2004. His
fields of interest include wireless communication and biomedical instrumentation.
Utpal Biswas received his B.E, M.E and PhD degrees in Computer Science and Engineering
from Jadavpur University, India in 1993, 2001 and 2008 respectively. He served as a faculty
member in NIT, Durgapur, India in the department of Computer Science and Engineering
from 1994 to 2001. Currently, he is working as an associate professor in the department of
Computer Science and Engineering, University of Kalyani, West Bengal, India. He is a co-
author of about 35 research articles in different journals, book chapters and conferences. His
research interests include optical communication, ad-hoc and mobile communication, semantic web
services, E-governance etc.
Mrinal Kanti Naskar received his B.Tech. (Hons) and M.Tech degrees from E&ECE
Department, IIT Kharagpur, India in 1987 and 1989 respectively and Ph.D. from Jadavpur
University, India in 2006.. He served as a faculty member in NIT, Jamshedpur and NIT,
Durgapur during 1991-1996 and 1996-1999 respectively. Currently, he is a professor in the
Department of Electronics and Tele-Communication Engineering, Jadavpur University,
Kolkata, India where he is in charge of the Advanced Digital and Embedded Systems Lab.
His research interests include ad-hoc networks, optical networks, wireless sensor networks, wireless and
mobile networks and embedded systems.
He is an author/co-author of the several published/accepted articles in WDM optical networking field that
include “Adaptive Dynamic Wavelength Routing for WDM Optical Networks” [WOCN,2006], “A
Heuristic Solution to SADM minimization for Static Traffic Grooming in WDM uni-directional Ring
Networks” [Photonic Network Communication, 2006],”Genetic Evolutionary Approach for Static Traffic
Grooming to SONET over WDM Optical Networks” [Computer Communication, Elsevier, 2007], and
“Genetic Evolutionary Algorithm for Optimal Allocation of Wavelength Converters in WDM Optical
Networks” [Photonic Network Communications,2008].

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REDUCING HANDOVER DELAY BY PRESELECTIVE SCANNING USING GPS

  • 1. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 DOI : 10.5121/ijdps.2010.1212 142 REDUCING HANDOVER DELAY BY PRE- SELECTIVE SCANNING USING GPS Debabrata Sarddar1 , Joydeep Banerjee1 , Jaydeep Ghosh Chowdhury1 ,Ramesh Jana1 , Kaushik Kumar Nundy2 , Utpal Biswas3 , M.K.Naskar1 1 Department of Electronics and Telecommunication Engg, Jadavpur University, Kolkata – 700032. dsarddar@rediffmail.com, jogs.1989@rediffmail.com, jaydeep197@gmail.com,mrinalnaskar@yahoo.co.in 2 Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. Clear Water Bay, Kowloon, Hong Kong SAR, China. kknundy@ieee.orgart 3 Department of Computer Science and Engg, University of Kalyani, Nadia, West Bengal, Pin- 741235, utpal01in@yahoo.com Abstract IEEE 802.11 based mobile communication towers is used very much in many personal and industrial purposes as it provides a continuous connectivity to Mobile Nodes (MNs) and allows them to change their attachment point from old Access Point (A)P to new AP while needed. But one main problem of continuous connectivity is handover latency which consists of scanning, authentication and re-association phases. Scanning is the most time consuming part of handover process. In this paper, we introduce a pre- scanning mechanism using Global Positioning System (GPS) to reduce handover delay. In our method, scanning is completed almost before actual handover starts. From the simulation results, it can be seen that our proposed mechanism reduces handover delay by a great deal. KEYWORDS IEEE 802.11, GPS, handover, Pre-scanning. 1. INTRODUCTION IEEE 802.11b based wireless and mobile networks [1], also called Wi-Fi commercially, and are on a demand for their extensive range of applicability, economical rates and applicability. But due to their limited coverage range, it results in frequent handoffs, even in moderate mobility scenarios. Handoff, an inherent problem with wireless networks, particularly real time applications, has not been well addressed in IEEE 802.11, which takes a hard handoff approach [2]. Here a mobile host (MH) has to break its connection with its old access point (AP) before connecting to a new AP, resulting in prolonged handoff latency called link switching delay. Now-a-days, soft handoff procedure is in use. Here a mobile node is connected to its old AP till it makes connection with the new AP. This effectively reduces the packet losses incurred by hard handoff. A schematic diagram showing hard and soft hand off is given in Figure 1.
  • 2. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 143 Figure 1. Diagram showing mechanism of hard and soft handoff In recent years, there are many wireless technologies being implemented starting from 2G and 3G cellular system (e.g. GSM/GPRS,UMTS,CDMA2000), metropolitan area networks (e.g., IEEE 802.16,WiBro), wireless local area networks WLANs (e.g., IEEE 802.11a/b/g, Hiper- LAN), and personal area networks (e.g. Bluetooth). All these wireless networks are heterogeneous in sense of different radio access technologies, the communication protocols that they use and the different administrative domains that they belong to. The actual trend is to integrate complementary wireless technologies with overlapping coverage so as to provide the expected ubiquitous coverage and to achieve the Always Best Connected (ABC) concept. IEEE 802.11b standards have become increasingly popular and are experiencing a very fast growth upsurge. They are widely being deployed for variety of services as it is cheap, and allow anytime or anywhere access to network data. However, they suffer from limited coverage area problem [3] and it is necessary to use this technology in the most prudent manner. A Wireless Local Area Network (WLAN) links two or more devices using some wireless distribution method (typically spread-spectrum), and usually provides a connection through an access point to the wider internet. This gives users the mobility to move around within a local coverage area and still be connected to the network. Essentially, a WLAN is an extra backbone to the connection between a mobile client and an access point, which transmits and receives radio signals between them. An access point can be either a main, relay or remote base station. A main base station is typically connected to the wired Ethernet. A relay base station relays data between remote base stations, wireless clients or other relay stations to either a main or another relay base station. A remote base station accepts connections from wireless clients and passes them to relay or main stations. Connections between "clients" are made using MAC addresses.
  • 3. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 144 The entire handover procedure can be divided into scanning, authentication and re-association. In the first phase, the mobile node (MN) scans for AP’s by either sending Probe Request messages or by listening for beacon message. After scanning all or specified number of channels, an AP is selected which has the frequency channel with the highest Received Signal Strength Indication (RSSI) and Carrier to Interference (CI) ratio. Then the selected AP exchanges authentication messages with the MN. Finally, if the AP authenticates the MN, it sends Re-association Request message to the new AP and handover gets accomplished. The handover region between two approximated hexagonal coverage area cells for mobile communication is shown in Figure 2 (figure taken from Mobile- man). Figure 2. The handover region between two approximated hexagonal coverage area cell Handoff delay is the time taken to complete the handoff between two cells. There are three steps encompassing this delay. They are probe delay, authentication delay and re-association delay. Probe delay is the time that MN takes to complete a scan of available networks and to build its priority list. It is required to send somewhere between 3 to 11 messages in order to complete this task. Authentication delay is the time taken by the MS for re-authentication to the AP as chosen from its priority list. Depending on the type of authentication, either 2 or 4 packets need to be exchanged. Re-association delay is the time taken by the MS to signal the AP that the handoff is complete. It is required that a minimum of 2 packets be exchanged. 90% of the handoff delay comes from channel scanning. The range of scanning delay is given by the equation: where N is the total number of channels according to the spectrum released by a country, Tmin is Minimum Channel Time, Tscan is the total measured scanning delay, and Tmax is Maximum Channel Time. The total handoff process is given in Figure 3. Considering heterogeneous wireless networks such as B3G or 4G networks, with the BSs in the cellular network with one access technology and APs from WLANs using a different one, we can say that a vertical handover (VHO) is the mechanism by which an ongoing connection is transferred from one BS to an AP and vice versa.
  • 4. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 145 VHO can be classified in two categories namely upward-downward handover techniques and imperative-alternative handover techniques. An upward VHO occurs from a network with small coverage and high data rate to a network with wider coverage and lower date rate. On the other hand, a downward VHO occurs in the opposite direction. As an example for this classification let’s consider the case of two of the most important current wireless technologies: 3G cellular networks and WLANs. The WLAN system can be considered as the small coverage network with high data rate while the 3G cellular system is the one with wider coverage and lower data rate. An imperative VHO occurs due to low signal from the BS or AP. In other words, it can be considered as an HHO. The execution of an imperative VHO has to be fast in order to keep on- going connections. On the other hand, a VHO initiated to provide the4 user with better data-rate is called the alternative VHO. One of the most important reasons of handoff failure is the handoff latency caused by channel scanning and excess wireless traffic. Many measures have been taken in order to minimize handoff failure, but handoff failure is still an issue unsolved in the cellular world. Here we propose to minimize the handoff failure probability by effectively placing a WLAN AP in the handoff region between two neighbouring cells. We also perform the channel scanning (required for horizontal handover between the two base stations) within the WLAN coverage area, thus minimizing the handoff failure due to scanning delay. Figure 3. The total handoff procedure with proper sequence of the steps
  • 5. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 146 1.1.5. GPS system To generate a GPS map, the MN with GPS generates an AP map while it travels within a network. The MN records the latitudes and longitudes of the neighbour Access Point and used channel of each AP by Basic Service Set ID (BSSID). When a MN enters into a new network, it downloads its GPS map from server. By these AP map and GPS map, the minimum distance between MN and each neighbour AP can be found from server. Certain APs whose distance from MN is less than threshold are chosen as neighbours and AP’s co-ordinates, IEEE 802.11 channel corresponding to that AP, AP’s Service Set ID(SSID) and IPv6 prefix are statically configured. By these AP and GPS map, we can locate the MN’s position in a network and whether a MN moves or not. Basically we can calculate the distance between two points in a network by GPS. Let us denote the previous and the current co-ordinates of an MN as (lat1, long1) and (lat2, long2) respectively. Considering R (=6371 km) as the radius of the earth, the distance d between the two points is calculated by the formula: haversine(d/R)= haversine( lat)+cos(lat1)x cos(lat2) x haversine( long)..........................(2) Where the haversine function is given by haversine(x) =sin2 (x/2). Let h denote the haversine(d/R). One can then solve for d by either simply applying the inverse haversine or by using the arcsin function d=R x haversine-1 (h) =2R x arcsin( ). If d is greater than 1 meter, we consider that the MN has moved and has to send to the GPS server a LU message, which includes the identity of its current AP and its current co-ordinates. The MN can know its position information from GPS within an error of 1-2 meters. With prediction it is possible to reduce latency and packet loss. Thus GPS allows us to anticipate movement calculation with the help of which the need to wait for beacon signals from other FAs is eliminated. Also handoff target areas are discovered in advance. Here we propose a pre-scanning mechanism using GPS by which we can almost eliminate scanning part of handover delay because we complete scanning almost before MN enters into a new cell. In section 1.1 we discuss on IEEE 802.11b handover procedure. We divide the rest of the sections as follows. In section2 we describe our related work and in section 3 we propose a new scheme of pre-scanning using GPS. In section 4 we demonstrate simulation results and in section 6 we shall give a brief conclusion 2. RELATED WORKS In real-time application, many scientists have proposed many mechanism to improve handover latency in IEEE 802.11b based networks. In [2] and [3] many techniques to reduce handoff latency as well as packet loss are described. In [4] a common method to decrease handoff delay is proposed. In [5] authors proposed a location-aided algorithm to manage handover between WLAN and GPRS network. Depending upon velocity, direction and on-going traffic of MNs, it can estimate the time when a handover is needed. In [6] an MN generates an AP map to use it for handover in a test aided wireless network. In [7] authors proposed a pre-scanning scheme using Neighbor graph cache memory. If MN has T time before handover, and scanning time is Ts. Then total no of times cache is updated with neighbor graph is n=T/Ts. Scanning delay in this mechanism depends upon n. This delay will be minimum if the probability of n being an integer is greater. In [8] a pre-authentication mechanism using GPS is proposed. In their scheme, authentication is completed during scanning phase. Therefore handover delay can be reduced.
  • 6. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 147 In [9] the authors used a caching scheme to generate a list of MAC addresses of APs adjacent to current. In [3] a selective scanning mechanism using neighbour graph is proposed. There scanning delay has been considered as ‘the time from first probe request message to last probe response message’. Thus client’s processing delay is neglected. In their mechanism, scanning delay is: Ts=N’*rtt+α Where Ts=scanning delay N’=number of potential channels Rtt=round trip time α=message processing time. 3. PROPOSED METHOD We are proposing a scheme named “PRE-SELECTIVE SCANNING WITH GPS (Global Positioning System)” to reduce the scanning delay which is 90 percent of whole handover delay. Our scheme has the advantage of selective scanning. There are 14 channels used to be scanned. But only first 11 channels of them are used by IEEE 802.11b. But 1,6,11 number channels are not overlapping; therefore most of APs are likely to operate on these three channels. We also use pre-scanning mechanism where we can complete the scanning phase almost before handoff such that scanning delay will not be included in handoff delay. In this way, we can reduce handoff delay drastically. We have also used GPS to calculate the distance between the Mobile Node (MN) and the best AP in the old AP’s neighbourhood area when the MN moves within old base station’s cell. We describe our proposed work in the algorithm form below. 1. After call setup the mobile node will scan once and calculate the scanning time Ts 2. If the MN gets the APs after scanning 2.1. Select the best AP with best signal quality and try to associate with that AP /* For this case calculate the distance of the MN from nearest AP*/ /* Let the distance between MN and the signal boundary of its nearest AP be s*/ /* Let the average velocity of the MN be v*/ /* Let the average handoff latency as stated by previous work be Ts*/ /* If the MN goes to that AP through the shortest path, then it needs s/v time. In that case MN will have T=s/v time before handoff. Therefore in that case ratio of T and Ts is n=T/T*/ 2.1.1. If n=1 or n<1 2.1.2. MN will scan selectively immediately and jump to srep 5 2.1.3. Else 2.1.4. Jump to step 2.1.1 2.2. Else 2.3. Jump to step 2 2.4. End 2.5. Authenticate with the new AP 2.6. Re-association /* Handover complete*/ So, in that case, n=1 means we have time equal to a scan-time before handoff. So, if we can start scanning at n=1, we can complete scanning phase before handoff. If otherwise unfortunately we fail to recognize where n becomes 1 and n will be less than 1, then we have to start scanning immediately though we can’t complete scanning before handoff. But we can reduce scanning delay very much also in that case.
  • 7. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 148 So, here if we can complete the whole scanning phase before handoff, then we can eliminate the scanning phase from handoff delay. Then the only delay will be due to authentication, re- association and processing of devices. The above algorithm is also shown in the flow chart representation in Figure 3. 4. EXPERIMENTAL RESULTS AND SIMULATIONS To simulate our proposed algorithm, we have found a formula to find scanning delay as function of actual call time before handover. So at every interval of time Ts/100, minimum change of n may be 0, and maximum change of n is 0.1. So the average change of n = (0+.01+.02+.03+.04+.05 +.06+.07+.08+.09+0.1)/11 =0.05. So at every interval of time Ts/100, n can be averagely changed by 0.05. Figure 4.Flow Chart of Pre-scanning Algorithm Using GPS
  • 8. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 149 Let us assume, actual call time before handoff needed is t. So N=t/Ts. If our scheme is applied, then one time will come when n will be just less than 1, in that time the value of n will be: n=N-.005*nearest upper integer of (200*(N-1)). And the scanning delay will be Sd=Ts-t+.005*Ts* nearest upper integer of (200*(t/Ts-1)). For choosing the value of Ts we can have different combination of values. If we use Basic active scan in our pre-scanning scheme, then Ts=332ms according to [9]. If we use fast active scan in our pre-scanning scheme, then Ts=32.36ms according to [5]. If we use basic selective scan in our pre-scanning scheme then Ts=129ms according to [3]. If we use selective scan using cache in our pre-scanning scheme, then Ts=3ms according to [8]. To evaluate our proposed scheme, we simulate all these four mechanism- basic active scan, fast active scan, basic selective scan, and selective scan using cache. So, from figure 5, 6, 7 and 8, we can realize that the effective delays are lesser than the previous value because of pre-scanning. The simulation results indicate that the average delays for basic active scanning, fast active scanning, basic selective scanning and selective scanning using cache are .825ms, 0.08ms, 0.35ms and 0.0075ms respectively. So if we use our proposed pre- scanning mechanism, handover delay can be reduced by a great deal. Figure 5.Scanning delay for basic active scan Figure 6. Scanning delay for fast active scan (Ts=332ms) (Ts=32.36ms). Figure 7. Scanning delay for basic selective Figure 8. Scanning delay for selective scanning scanning (Ts=141ms) using cache (Ts=3ms)
  • 9. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 150 5. CONCLUSION AND FUTURE WORKS The new introductions in our paper are connoted as follows. Firstly, we have used just 1, 6, 11 number channel for scanning as most of APs prefer to operate on these three channels because they are not over-lapping. This can reduce scanning delay by a great deal. Secondly, we have proposed a special pre-scanning mechanism by which we can complete scan almost before actual handoff. Thirdly, scanning has not been done many times; it has been done once just when it is needed. Thus we can reduce power consumption. Finally, we have used GPS instead of neighbour graph as GPS is much efficient. Thus we can reduce packet loss very much. But we can not reduce authentication delay as well as re-association delay. Future simulations may reduce these delays using more powerful algorithm. We have described a pre-scanning mechanism using GPS that supports IEEE 802.11 based mobile communication models in this paper. By this mechanism we can reduce scanning delay very much. As 90% of total handover delay is contributed by scanning phase, therefore our method can reduce handover delay by a great deal. REFERENCES [1] Wireless LAN Medium Access Control (MAC) and Physical Layer(PHY) Specifications,” IEEE Standards, 1999 [2] Wankawee Puangkor and Panita Pongpaibool. ‘A Survey of Techniques for Reducing Handover Latency and Packet Loss in Mobile IPv6’. [3] H.S. Kim, S.H. Park, C.S. Park, J.W. Kim, S.J. Ko. “Selective Channel Scanning for Fast Handoff in Wireless LAN using Neighbor Graph”. In proceedings of the 9th International Conference on Personal Wireless Communication, 2004, pp.=194-203. [4] Ping-Jung Huang and Yu-Chee Tseng.‘A Fast Handoff Mechanism for IEEE 802.11 and IAPP Networks’. Vehicular Technology conference, 2006.VTC 2006-Spring.IEEE 63rd, vol 2, pp 966-970. [5] J. Pesola and S. Pokanen, “Location-aided Handover in Heterogeneous Wireless Networks,” in Proceedings of Mobile Location Workshop, May 2003. [6] In-Su Yoon, Sang-Hwa Chung, and Tae-Hoon Kim. “A fast handover method for IEEE802.11 wireless networks using combined GPS and SNR”. [7] D. Sarddar, T. Jana, K. Mandal, T. Patra, U. Biswas, Prof. M.K. Naskar. “Pre-scanning Mecha- nism to Reduce Handoff Latency With the Help of Neighbor Graph”. [8] D. Sardar, J. Banerjee, S. K. Saha, U. Biswas, M.K. Naskar. “An Improved Handoff Latency Scheme Using GPS Based AP Map”.. [9] S. Shin, A.S. Rawat, H. Schulzrinne. “Reducing MAC layer Handoff Latency in IEEE 802.11 Wireless LANs”. In proceeding of 2nd International Workshop on Mobility Management and Wireless Access Protocol, 2004, pp 19-26 [10] M.C. Hsia, Chunhung R. Lin, “Low Latency Mobile IP Handover Based on Active Scan Link Layer Associated FMIPv6”. In proceeding of Journal of Information Science and Engineering 25, 2009, pp=235-250. Author Biographies Debabrata Sarddar is currently pursuing his PhD at Jadavpur University. He completed his M.Tech in Computer Science & Engineering from DAVV, Indore in 2006, and his B.E in Computer Science & Engineering from Regional Engineering College, Durgapur in 2001. He was earlier a lecturer at Kalyani University. His research interest includes wireless and mobile system.
  • 10. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010 151 Joydeep Banerjee is presently pursuing B.Tech Degree in Electronics and Telecommunication Engg. at Jadavpur University. His research interest includes wireless sensor networks and wireless communication systems. Jaydeep Ghosh Chowdhury is presently pursuing B.Tech Degree in Electronics and Telecommunication Engg. At Jadavpur University. His research interest includes wireless sensor networks and wireless communication system. Ramesh Jana is currently pursuing his Master of Engineering in Electronics and Telecommunication Engineering from Jadavpur University. He completed his B.Tech in Computer Science and Engineering, from Kalyani University in 2003. Mr. Jana has been a lecturer at the Bhadrak Institute of Engineering and Technology from 2004 to 2009. His fields of interest include wireless sensor networks and computer networking. Koushik Kumar Nundy (M’09) is currently pursuing his Master of Science in Telecommunication from Hong Kong University of Science and Technology. He completed his B.Tech in Electronics and Communication Engineering, from the National Institute of Technology, Durgapur in 2010. He is a Technical Advisor with Thinkbiosoln. Mr. Nundy is an openSUSE ambassador. He received the National Talent Search Scholarship in 2004. His fields of interest include wireless communication and biomedical instrumentation. Utpal Biswas received his B.E, M.E and PhD degrees in Computer Science and Engineering from Jadavpur University, India in 1993, 2001 and 2008 respectively. He served as a faculty member in NIT, Durgapur, India in the department of Computer Science and Engineering from 1994 to 2001. Currently, he is working as an associate professor in the department of Computer Science and Engineering, University of Kalyani, West Bengal, India. He is a co- author of about 35 research articles in different journals, book chapters and conferences. His research interests include optical communication, ad-hoc and mobile communication, semantic web services, E-governance etc. Mrinal Kanti Naskar received his B.Tech. (Hons) and M.Tech degrees from E&ECE Department, IIT Kharagpur, India in 1987 and 1989 respectively and Ph.D. from Jadavpur University, India in 2006.. He served as a faculty member in NIT, Jamshedpur and NIT, Durgapur during 1991-1996 and 1996-1999 respectively. Currently, he is a professor in the Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India where he is in charge of the Advanced Digital and Embedded Systems Lab. His research interests include ad-hoc networks, optical networks, wireless sensor networks, wireless and mobile networks and embedded systems. He is an author/co-author of the several published/accepted articles in WDM optical networking field that include “Adaptive Dynamic Wavelength Routing for WDM Optical Networks” [WOCN,2006], “A Heuristic Solution to SADM minimization for Static Traffic Grooming in WDM uni-directional Ring Networks” [Photonic Network Communication, 2006],”Genetic Evolutionary Approach for Static Traffic Grooming to SONET over WDM Optical Networks” [Computer Communication, Elsevier, 2007], and “Genetic Evolutionary Algorithm for Optimal Allocation of Wavelength Converters in WDM Optical Networks” [Photonic Network Communications,2008].