Aiming at most energy equilibrium coverage strategy is based on insufficiency of energy consumption of static perception of node mostly in WSNs

a multi-target coverage optimization strategy is brought forward based on dynamic energy consumption and network coverage rate based on node.The strategy introduces dynamic routing protocol to coverage control optimization compute the dynamic energy consumption and the residual energy of the network

establish optimal function which evaiuate on coverage and energy comprehensive index combined with area coverage rate.Improved differential evolution algorithm and differential evolution algorithm are used for simulation and use result of coverage result to verify effectiveness of strategy.Simulation result shows that the coverage optimization strategy can achieve high coverage rate and guarantee dynamic balance of network energy consumption at the same time.In addition

in comparison with the improved differential evolution algorithm and the conventional differential evolution algorithm

the improved differential evolution algorithm overcomes prematurity value of comprehensive optimization of coverage and energy is more higher

which reaches 6.184 function.