An Analysis on the Impact of Utility Functions on the Performance of Game Theory Based Channel Allocation in Cognitive Radio Wireless Sensor Network

Cognitive Radio enabled Wireless Sensor Network has attracted researchers in present time. Channel allocation in such a network is a challenging task. Game Theory (GT) may also be applied to solve such issues and limited literature is available on this. However, while designing games for channel allocation, the choice of utility function plays an important role to meet higher performance levels by the channel allocation algorithm. In this paper, the impact of various utility functions which may be used in GT based channel allocation algorithms is explored. The entire process of assigning channels to different nodes through game-based allocation has been detailed. Simulations results are reported showing the performance of three different utility functions which may be used in game-based channel allocation. Future scopes of the work are outlined.