Title
Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks
Document Type
Article
Publication Date
7-1-2017
Publication Title
IET Networks
Volume
6
First Page
69
Last Page
74
Abstract
© The Institution of Engineering and Technology 2017. Vertical handoff (VHO) decision services play an essential role in the current wireless networks. Many algorithms designed aim at quality of service while granting seamless roaming amongst a number of heterogeneous access networks. In this study, the authors proposed an intelligent VHO decision strategy targeting to maximise user satisfaction without compromising on quality of service for non-real time mobile based services. The proposed strategy applies consumer surplus value (CSV)-based pricing scheme and also a prediction system to approximate network performances at various intervals. Finally, a fuzzy rule-based behavioral system is proposed to find optimal network by considering both CSV as well as network performance as stimulus parameters. Simulation is carried out using OM Net++ and MATLAB, and the results are acknowledged with discussion and analysis.
Recommended Citation
Cheelu, Dhanaraj; Madda, Rajasekhara Babu; Chen, Chi Yuan; Venkata Krishna, P.; and Yenduri, Sumanth, "Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks" (2017). Faculty Bibliography. 2927.
https://csuepress.columbusstate.edu/bibliography_faculty/2927
