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A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks
Author(s) -
Salih Yass K.,
Hang See Ong,
Ibrahim Rabha W.,
Yussof Salman,
Iqbal Azlan
Publication year - 2015
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2747
Subject(s) - computer science , wireless network , heterogeneous network , weighting , selection (genetic algorithm) , game theory , wireless , simple (philosophy) , heterogeneous wireless network , quality of service , distributed computing , computer network , mathematical optimization , artificial intelligence , telecommunications , medicine , philosophy , mathematics , epistemology , radiology , economics , microeconomics
Summary Network selection mechanisms have a significant role in guaranteeing the QoS for users in a heterogeneous wireless networks environment. These mechanisms allow the selection of an optimal wireless network to satisfy the needs of users. Users are provided with the opportunity to select from multiple connectivity opportunities available all over various wireless networks. Furthermore, the network operators themselves can execute active selection strategies that facilitate proper decision making, in which user preferences are considered. This study proposes a new noncooperative competing game‐theoretic model and strategy space based on user preference. This model can solve network selection problems and capture the inter‐linkages of decisions taken by various networks. A generalized simple additive weighting method is incorporated into the framework of noncooperative game theory. In addition, the utility function is employed to assess the usefulness of the system. Simulation results and analysis illustrate the efficacy of the suggested model in attaining optimum network utility for heterogeneous wireless networks while optimizing user satisfaction. Copyright © 2014 John Wiley & Sons, Ltd.