Wireless sensor network coverage optimization method based on improved genetic algorithm

The invention relates to a wireless sensor network coverage optimization method based on an improved genetic algorithm, and belongs to the field of communication technology system resource allocation. In order to solve the problems of low coverage rate and low node energy utilization rate, the invention aims at obtaining the maximum node set coverage efficiency by using a few node working states, and establishes a network coverage optimization mathematical model by mixing node network utility based on a Boolean perception model; according to the improved genetic algorithm adopted by the invention, a search object is a code set instead of a problem, the process of searching an optimal solution is not limited by constraint conditions of a function, the process is easy to execute, and the optimization problem can be effectively solved. When the optimal solution is iterated, the crossover probability and the mutation probability of the current individual are improved, the situation that due to the small search ra