Energy and quality of service aware FUZZY‐technique for order preference by similarity to ideal solution based vertical handover decision algorithm for heterogeneous wireless networks. Issue 3 (1st September 2013)

• Record Type: Journal Article
• Authors: Kantubukta, Vasu; Maheshwari, Sumit; Mahapatra, Sudipta; Kumar, Cheruvu Siva
• Is Part Of: IET networks. Volume 2:Issue 3(2013)
• Page Start: 103
• Page End: 114
• Publication Date: 2013-09-01
• Subjects: fuzzy systems -- Markov processes -- mobility management (mobile radio) -- quality of service -- telecommunication traffic -- next generation networks; quality of service -- next generation network -- vertical handover decision algorithm -- heterogeneous wireless network -- multiple transport technology -- unrestricted user access -- service provider -- support generalised mobility -- ubiquitous service provisioning -- QoS -- intelligent decision mechanism -- energy aware device -- FUZZY‐TOPSIS -- fuzzy rule‐based mechanism -- generalised Markov chain -- FUZZY‐TOP decision algorithm -- traffic class; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2012.0183
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : Next generation networks will use multiple transport technologies that offer unrestricted user access to different service providers and support generalised mobility to allow consistent and ubiquitous service provisioning to users. Different networks have widely varying characteristics, which makes it difficult to maintain the requested quality of service (QoS) after executing handoff from one transport technology to another. Maintaining the QoS during handoff in heterogeneous networks needs an intelligent decision mechanism. Moreover, the developed algorithms should be energy aware as the devices involved rely on battery power. This study proposes a novel vertical handover decision mechanism namely FUZZY‐technique for order preference by similarity to ideal solution (FUZZY‐TOP), obtained by combining a fuzzy rule‐based mechanism with the technique for order preference by similarity to ideal solution approach. Simulation results based on a generalised Markov chain show that compared with existing vertical handover decision algorithms, the proposed FUZZY‐TOP decision algorithm performs better for different traffic classes.