Symmetry 2017, 9(5), 73; https://doi.org/10.3390/sym9050073
Fair Dynamic Spectrum Allocation Using Modified Game Theory for Resource-Constrained Cognitive Wireless Sensor Networks
Sang-Seon Byun 1 and Joon-Min Gil 2,*
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)
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-TextKeywords:
cognitive sensor networks; fair spectrum allocation; spectrum handoff; modified game theory; multi-objective optimization
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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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