Title
Handover Management in Enhanced MIH Framework for Heterogeneous Wireless Networks Environment
Abstract
Vertical handover decision making is one of the key problems in heterogeneous networks environment. In IEEE 802.21 standard, a Media Independent Handover (MIH) framework is proposed to improve user experience of mobile devices by facilitating handover in heterogeneous networks with measurements and triggers from link layers. However, vertical handover decision making can benefit from the information more than link layers. In this paper, an Enhanced Media Independent Handover (EMIH) framework is proposed by integrating more information from application layers, user context and network context. Given such information, there is also another important problem on how to select a favorite network. Two quite important problems from realistic scenario are as follows: (1) how to make use of partial knowledge due to incomplete value measurement on decision factors; (2) how to deal with robustness problem due to inaccurate measurement on decision factors. In order to tackle these problems, two novel Weighted Markov Chain (WMC) approaches based on rank aggregation are proposed in this paper, in which a favorite network is selected as the top one of rank aggregation result fused from multiple ranking lists based on decision factors. Moreover, an entropy weighting method, combined with WMC approach, is studied. The simulations demonstrate the effectiveness of these proposed approaches.
Year
DOI
Venue
2010
10.1007/s11277-008-9628-5
Wireless Personal Communications
Keywords
Field
DocType
Heterogeneous wireless networks,Vertical handover decision,Network selection,Rank aggregation
Wireless network,Weighting,Vertical handover,Ranking,Media-independent handover,Computer science,Computer network,Robustness (computer science),Real-time computing,Heterogeneous network,Handover,Distributed computing
Journal
Volume
Issue
ISSN
52
3
0929-6212
Citations 
PageRank 
References 
21
1.08
22
Authors
6
Name
Order
Citations
PageRank
Ying Wang131639.54
Ping Zhang2758105.08
Yun Zhou3211.08
Jun Yuan424423.10
Fang Liu511820.95
Gen Li68323.88