Energy Efficient Spectrum Access for Cognitive Radio Sensor Networks

A dynamic spectrum allocation scheme is important for secondary users in cognitive radio sensor networks, which need to reduce collisions and increase efficiency. In order to allocate channel resources efficiently and reasonably, we use a greedy algorithm to select optimal secondary users, and propose a novel reverse auction bidding strategy based on non-cooperative game. The optional users are selected in this model, according to quantity of data, residual energy, privacy and preference. When an optimal Nash equilibrium is achieved, the channel resources would be allocated to primary and secondary users reasonably. The simulation results show that our algorithm can reduce energy consumption rate of secondary user, improve the network utility and prolong network lifetime.