基于博弈论能耗均衡的分簇路由协议

ccording to the greenhouse microclimatic environment monitoring system based on the Internet of things,we analyzed the network topology of the greenhouse monitoring subnet and found that the heavy relay load between the nodes might cause the node to die quickly and network service might be interrupted.Therefore,how to reduce the energy consumption of the nodes became the hot spots of researching wireless sensor network.The existing large number of studies utilized the idea of clustering to achieve the balance of network energy consumption,but these methods had some shortcomings of uneven density and unstable number of cluster heads,which might have impact on the survival time of the entire network.Aiming at this problem,a clustering routing(GDCR)algorithm based on game theory energy balance is proposed.In the clustering stage,the radius of the cluster is determined by the density of the sink node and the residual energy of the cluster head to the sink node.In the stage of inter-cluster communication,through establishing a game model with the node residual energy and link stability as the benefit and the Nash equilibrium solution to seek the optimal transmission path of energy consumption balance and high link stability,and thereby prolong the life cycle of the network.Ultimately, Simulation results show that the transmission stability of GDCR and LEACH is increased by 20%, energy consumption is reduced by 30%, and the whole network life cycle is extended to a great extent.