Research on Energy -saving algorithm based on wireless sensors based on evolution games

Aiming at the problem of excessive load and uneven energy consumption in the wireless sensor network, establishing a game model of cluster node cooperation data based on the theory of evolutionary game, and also proposed a wireless sensor network optimal route based on the evolutionary game algorithm. The income function of cluster-head evolutionary game is designed by integrating the energy of nodes and energy consumption of forwarding data and consider the impact of the selfish node on the network performance of the wireless sensor, thereby forming a stable and efficient routing forwarding structure. The simulation experiment shows that the algorithm balances the node load, effectively improves the problem of imbalance in energy in the network, reduces the packet loss rate, and extends the survival time of the network.