International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 8, No. 7, 8 Jul. 2016
Cover page and Table of Contents: PDF (size: 998KB)
Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time
Full Text (PDF, 998KB), PP.31-42
Views: 0 Downloads: 0
Author(s)
Jyoti Madaan
1,*
Indu Kashyap
1
Index Terms
Vertical handoff decision (VHD), received signal strength (RSS), horizontal handoff (HHO), vertical handoff (VHO), next generation wireless networks (NGWN’s)
Abstract
Next generation wireless network (NGWN) is a mixture of various heterogeneous technology. It allows the global information access to the user while moving from one network to another. The challenging issue in NGWNs to design an intelligent vertical handoff decision algorithm beyond traditional one. The traditional algo-rithms are based on signal strength only to determine the right time and right network. But, these algorithms have a large number of unnecessary handoff due to fluctuating RSS. Although, the number of unnecessary handoffs can be reduced by an RSS with hysteresis margin scheme. But these algorithms increases the risk of high dropping and low utilization. Therefore, the aim of our research is to develop a vertical handoff decision algorithm that can select an optimum target network based on bandwidth requirement, battery power, cost of service, network per-formance and network condition. By the implementation of our algorithm, we can provide a mechanism that can select the best network at the appropriate time and pro-vides the uninterrupted services to mobile users, that al-lows connectivity between universal mobile telecommu-nication system (UMTS) and wireless local area network (WLAN). The inclusion of hysteresis margin and dwell time in predicted RSS helps in reducing the early handoff, ping pong effect, decision delay and utilization rate.
Cite This Paper
Jyoti Madaan, Indu Kashyap, "Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time", International Journal of Computer Network and Information Security(IJCNIS), Vol.8, No.7, pp.31-42, 2016. DOI:10.5815/ijcnis.2016.07.05
Reference
[1]L. Bosoanca, and A. Vargatu, “An Overview of Vertical Handoff Decision Algorithms in NGWNs and a new Scheme for Providing Optimized Performance in Hetero-geneous Wireless Networks,” Informatica Economica, vol. 15, no. 1. pp. 5-21, Jan 2011.
[2]N. D. Tripathi, J. H. Reed, and H. F. Vanlandingham, “Handoff and radio resource management in cellular sys-tems,” In Radio resource management in cellular systems, pp. 1-42, Springer US, Jan. 2001.
[3]A. Bhuvaneswari, and E. George Dharma Prakash Raj, "A Cross Layer based Vertical Handoff Decision Making Framework," International Journal of Computer Applica-tions, vol. 50, no. 19, pp. 28-32, July 2012.
[4]G. P. Pollini, “Trends in Handover Design,” IEEE Com-munications Magazine, vol. 34, no.3, pp. 82-90, March 1996.
[5]P. Payaswini, and D.H. Manjaiah, “Dynamic Vertical Handoff Algorithm Using Media Independent Handover Service for Heterogeneous Network”, International Journal of Information Technology and Computer Science (IJITCS), vol. 6, no. 12, pp. 46-52, Nov. 2014, DOI: 10.5815/ijitcs.2014.12.06.
[6]B. Bhowmik, “A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure”, vol. 2, pp. 66-72, Jan. 2013, DOI: 10.5815/ijitcs.2013.02.07.
[7]N. Zhang, and J.M. Holtzman, “Analysis of handoff algo-rithms using both absolute and relative measurements,” IEEE Transactions on Vehicular Technology, vol. 45, no. 1, pp. 174-179, Feb. 1996.
[8]P. Marichamy, S. Chakrabarti, and S. L. Maskara, "Per-formance evaluation of handoff detection schemes," In TENCON 2003, Conference on Convergent Technologies for the Asia-Pacific Region, vol. 2, IEEE, pp. 643-646, Oct.2003.
[9]K. Pahlavan, P. Krishnamurthy, A. Hatami, M. Ylianttila, J. Makela, R. Pichna, and J. Vallstron, “Handoff in hybrid mobile data networks,” Personal Communications, vol. 7, no. 2, IEEE, pp. 34-47,Apr. 2000.
[10]L. Xia, J. Ling-ge, H. Chen, and L. Hong-Wei, “An intel-ligent vertical handoff algorithm in heterogeneous wireless networks,” In Neural Networks and Signal Processing, International Conference on, pp. 550-555, IEEE, June 2008.
[11]B. J. Chang, and J. F. Chen, “Cross-layer-based adaptive vertical handoff with predictive RSS in heterogeneous wireless networks. Vehicular Technology,” IEEE Trans-actions on, vol. 57, no. 6, pp. 3679-3692, Nov. 2008.
[12]M. Kassar, B. Kervella, and G. Pujolle, “An overview of vertical handover decision strategies in heterogeneous wireless networks,” Computer Communications, vol. 31, no. 10, pp. 2607-2620, June 2008.
[13]W. Lee, E. Kim, J. Kim, I. Lee and C. Lee, Lee, W., “Movement-aware vertical handoff of WLAN and mobile WiMAX for seamless ubiquitous access,” IEEE Transac-tions on Consumer Electronics, vol. 53, no.4, pp.1268-1275, Nov. 2009.
[14]S. D. Roy, and S. Anup, “Received signal strength based vertical handoff algorithm in 3G cellular network,” In Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on (pp. 326-330), IEEE, Aug. 2012.
[15]D. He, C. Chi, S. Chan, C. Chen, J. Bu, and M.Yin, “A simple and robust vertical handoff algorithm for heteroge-neous wireless mobile networks,” Wireless Personal Communications, vol. 59, no.2, pp.361-373, July 2011.
[16]S. Kunarak, and R. Suleesathira, “Algorithmic vertical handoff decision and merit network selection across het-erogeneous wireless networks,” WSEAS Transactions on Communications, vol. 12, no. 1, pp.1-13, Jan. 2013.
[17]S. Reddy, and S. D. Roy, "Vertical Handoff Decision Algorithms in Integrated Heterogeneous Networks," In-ternational Journal of Energy, Information & Communica-tions, vol. 4, no. 2, Apr. 2013.