A Robust Regression Model for Handover Prediction In Wireless Networks
DOI:
https://doi.org/10.17656/jzs.10384Keywords:
Robust Regression Model, Handover Prediction, Wireless NetworksAbstract
The recent applications of wireless networks demand high Quality of Service (QoS) and
mobility management between access networks. For this reason, emergent Advances in
IEEE 802.11 standards have been witnessed to achieve seamless communication
between mobile nodes. However, since existing handover mechanisms have
shortcomings in terms of mobility handover cost and latency, more robust handover
decision approach should be considered. To this end, in this research, we propose a
decision approach to accurately trigger handover process between current and next
access point. The proposed approach incorporates robust regression model is to predict
the received signal strength (RSS) of the wireless channel between the mobile node
(MN) and the access point. Thus, the MN makes an accurate handover decision as well
as layer 3 handover process occurs in advance to the one in layer 2. Our theoretical
analysis and simulation results show that the proposed handover decision approach is far
superior to the existing handover decision schemes in terms of handover latency and
cost.
References
Burra Venkata Durga Kumar, “AN OVERVIEW OF HANDOFF LATENCY IN IEEE 802.11,
Regional Conference on Knowledge Integration in ICT, ISBN 978-983-3048-37-3 (2010).
Sadiq, A., Abu Bakar, K. and Ghafoor, K. Z. “A Fuzzy Logic Approach for Reducing Handover
Latency in Wireless Networks”. International Journal ofNetwork Protocols and Algorithms. 2(4), 61 –
Macrothink Institute, (2011).
Sangho Shin, Andrea G. Forte and Henning Schulzrinne “Seamless Layer-2 Handoff using Two
Radios in IEEE 802.11 Wireless Networks, Columbia University Technical Report CUCS-018-06, New
York, NY, (2006).
Joydeep Banerjee, Pradipta Ghosh1 and Debabrata Sarddar, “Geometrical Mathematical Models and
Carrier to Interference Ratio based Handoff Algorithm for Reduction of Handoff Latency in Wireless
Networks,” International Journal of Computer Applications (0975 8887) Volume 27 No.3, (2011).
Atalah Kholoud, Macias Esla and Suarez Alvaro, “A Proactive Horizontal Handover Algorithm
Based on RSSI Supported by a New Gradient Predictor,” Ubiquitous Computing and Communication
Journal, Volume 3 Number 3, Page 77, (2009).
Yan Xiaohuan, Mani Nallasamy and Y.Ahmet, “A Traveling Distance Prediction Based Method to
Minimize Unnecessary Handover from Cellular Networks to WLANs,” IEEE communications letters,
Page(s) 14 – 16, ISSN 1089-7798, INSPEC Accession Number: 9775864, (2008).
Changiz Seyed Saeed and Khalaj Babak Hossein, “Gray Predition Based Handoff Algorithm”,
International Journal of Electrical, Computer, Electronics and Communication Engineering Vol:1 No:2,
(2007).
Sarddar Debabrata and chatterjee Shubhajeet , “Minimization of Handoff Latency by Vector
Analysis Method,” IJCSI International Journal of Computer Science, vol.8, No.2, (2011).
Sarddar Debabrata and Banerjee Joydeep , “Reducing Handover Delay by pre-selective scanning
using GPS in IEEE 802.11 WLANs ,” International Journal of Distributed and Parallel Systems (IJDPS)
Vol.1, No.2, (2010).
Mishra, A., Shin, M. H., Albaugh, W.: An Empirical Analysis of the IEEE 802.11 MAC Layer
Handoff Process. ACM SIGCOMM Computer Communication Review. Vol. 3 93–102, (2003).
S. Pyo and Y. Choi, “A fast Handover Schema Using Exponential Smoothing Method,” IJSCNS
International Journal of Computer Science and Network Security, Vol. 9 No. 2 pp. 61-64, (2009).
Chien S.F., Liu Huaiyu and .Low Andy L Y, “Smart Predictive Trigger for Effective Handover in
Wireless Networks Communications”, IEEE International Conference on Page(s) 2181 E-ISBN: 978-1-
-2075-9,(2008).
Wanalertalk Weetit, Lee Been and Yu Chansu, “Scanless Fast Hadoff Technique Based on Global
Cashe for WLANs,” The Journal of Supercomputing, Volume 66, Issue 3, pp 1320-1349, (2012).
Verardi, V and Croux, C, “Robust regression in Stata,” The Stata Journal, KBI 0823 Vol 9, (2009).
Nikoletta Sofra, Athanasios Gkelias and Kin K. Leung, “Link Residual-Time Estimation for VANET
Cross- Layer Design, International Workshop on Cross Layer Design - IWCLD, 2009, DOI.
1109/IWCLD.5156521, (2009).
John Fox, “Robust Regression Companion to Applied Regression, Appendix to An R and S-PLUS
Companion to Applied Regression, SAGE Publications, Inc; Second Edition edition, ASIN:
B008P5BJIO (2010).
Xavier Garcia and Alan G. Jones, “Robust processing of magneto telluric data in the AMT dead
band using the continuous wavelet transform, GEOPHYSICS, VOL. 73, NO. 6; P. F223–F234, 11
FIGS., 1 TABLE. 10.1190/1.2987375, (2008).
Choi Yong-Hoon , “Mobility Management of IEEE 802.16e Networks”, IJSCNS International
Journal of Computer Science and Network Security., Vol. 8 No.2., pp. 89–93, (2008).
N. Salvati, N. Tzavidis, M. Pratesi, R. Chambers, “Small Area Estimation ViaMQuantile
Geographically Weighted Regression, TEST Volume 21, Issue 1, pp 1-28, (2009).
Downloads
Published
Issue
Section
License
Copyright (c) 2015 Shakhawan H. Wady, Kamalrulnizam A. Bakar & Kayhan Z. Ghafoor
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under 