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Symmetry 2017, 9(5), 73; doi:10.3390/sym9050073

Fair Dynamic Spectrum Allocation Using Modified Game Theory for Resource-Constrained Cognitive Wireless Sensor Networks

1
Department of Computer Engineering, Catholic University of Pusan, Busan 46252, Korea
2
School of Information Technology Engineering, Catholic University of Daegu, Gyeongsan, Gyeongbuk 38430, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Doo-Soon Park and Shu-Ching Chen
Received: 17 December 2016 / Revised: 9 May 2017 / Accepted: 10 May 2017 / Published: 16 May 2017
(This article belongs to the Special Issue Scientific Programming in Practical Symmetric Big Data)
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Abstract

This paper considers the deployment of a cognitive radio scheme in wireless sensor networks to achieve (1) fair spectrum allocation, (2) maximum spectrum utilization, and (3) priority-based sensor transmissions, while (4) avoiding unnecessary spectrum handover (or handoff). This problem is modelled as a bi-objective optimization problem. We apply modified game theory and a cooperative approach to identify an approximate optimal solution in reasonable time. We perform a series of numerical experiments to show that our scheme achieves fair spectrum allocation (in terms of proportional fairness) while observing transmission priorities and minimizing unnecessary spectrum handover. View Full-Text
Keywords: cognitive sensor networks; fair spectrum allocation; spectrum handoff; modified game theory; multi-objective optimization cognitive sensor networks; fair spectrum allocation; spectrum handoff; modified game theory; multi-objective optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Byun, S.-S.; Gil, J.-M. Fair Dynamic Spectrum Allocation Using Modified Game Theory for Resource-Constrained Cognitive Wireless Sensor Networks. Symmetry 2017, 9, 73.

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