Abstract
In order to reduce the interference of wireless sensor network, improve the utilization of spectrum resources and reduce the cost of spectrum, this paper uses game theory to improve the optimal response strategy. Under the premise of variable number of available channels, an improved channel allocation game algorithm (named CGVAC) is designed considering the impact of link transmission, network interference and residual energy on network performance. Theoretical analysis shows that the algorithm exists and can converge to the stable solution of Nash Equilibrium, and MATLAB was used for simulation. The experimental results show that the algorithm has less communication interference and higher spectrum utilization.
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