Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks. Issue 4 (1st July 2017)

• Record Type: Journal Article
• Authors: Cheelu, Dhanaraj; Madda, Rajasekhara Babu; Chen, Chi‐Yuan; Venkata Krishna, P.; Yenduri, Sumanth
• Is Part Of: IET networks. Volume 6:Issue 4(2017)
• Page Start: 69
• Page End: 74
• Publication Date: 2017-07-01
• Subjects: next generation networks -- mobility management (mobile radio) -- quality of service -- subscriber loops; intelligent vertical handoff decision strategy -- performance prediction -- consumer surplus value -- next generation wireless networks -- vertical handoff decision services -- quality of service -- heterogeneous access networks -- intelligent VHO decision strategy -- mobile based services -- fuzzy rule‐based behavioral system -- OM Net++ -- MATLAB; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2017.0003
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : 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.