Aiming at problem that power control algorithm for wireless sensor networks（ WSNs） can not real time adjust transmission power of nodes and large energy consumption

a neighbor node level power control algorithm based on single nerve cell PID is proposed. The algorithm adopts WSNs transmission power model

and adjusts the transmission power of each node by real time controlling number of neighbor nodes

so as to control energy consumption of the network dynamically. Simulation results show that the algorithm can adjust transmission power of sensor node according to connectivity requirement of the network

and the algorithm has good real-time performance

fast convergence rate

and can reduce the overall energy consumption of the network effectively.