Dynamic Spectrum Allocation in Wireless Cognitive Sensor Networks: Improving Fairness and Energy Efficiency

Abstract

This paper considers the centralized spectrum allocations in resource-constrained wireless sensor networks with the following goals: (1) allocate spectrum as fairly as possible, (2) utilize spectrum resource maximally, (3) reflect the priority among sensor data, and (4) reduce spectrum handoff. The problem is formulated into a multi-objective problem, where we propose a new approach to solve it using modified game theory (MGT). In addition, cooperative game theory is adopted to obtain approximated solutions for MGT in reasonable time. The results obtained from numerical experiments show that the proposed algorithm allocates spectrum bands fairly with well observing each sensor's priority and nearly minimal spectrum handoffs.

Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration

“…One of the first works in this line is presented by Byun et al in [13] where the network allocates the transmission channels in a centralized way improving energy efficiency and fairness in channel usage. The problem is formulated as a multiobjective problem solved by a cooperative game.…”

Issues in Realization of Cognitive Radio Sensor Networks

“…Thus, unnecessary spectrum handoff should be eliminated. In [18], a central spectrum allocation scheme, which tries to minimize spectrum handoff, has been proposed for CRSN. First, minimizing the effect of spectrum handoff on various communication layers must be analyzed.…”

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