Context and Movement Aware VIKOR MADM Based Vertical Handover Algorithm for Heterogeneous Networks

Authors(2) :-Silki Baghla, Savina Bansal

Heterogeneous wireless networks comprise of variety of wireless technologies integrated to satisfy userís demand. Vertical handover algorithm is the need of present scenario to select optimum network among the available networks. Multiple attribute decision making based handover algorithm are capable to select optimum network having requisite set of context parameters. Context information related to quality of service parameters offered by networks varies with movement of mobile terminal. Thus, context and movement aware has been designed with vector normalized preferred performance based VIKOR method (CMV-VPP). The performance has been analyzed for conversational traffic and compared with other available normalization methods as MAX normalization based VIKOR (CMV-MAX) and Vector normalization based VIKOR (CMV-VEC) methods. Simulation results show that the proposed algorithm performs better in terms of network selection and number of handovers as compared with other methods used in this work.

Authors and Affiliations

Silki Baghla
Research Scholar, Department of Electronics & Communication Engineering, IKG Punjab Technical University, Kapurthala, India
Savina Bansal
Professor, Department of Electronics & Communication Engineering, Maharaja Ranjeet Singh State Technical University, Bathinda, India


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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 366-373
Manuscript Number : IJSRSET1738121
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Silki Baghla, Savina Bansal, " Context and Movement Aware VIKOR MADM Based Vertical Handover Algorithm for Heterogeneous Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.366-373, November-December-2017.
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