Optimization of 3D WSN coverage based on equilibrium optimization algorithm

Coverage optimization is one of the basic problems in wireless sensor networks. reflects service quality provided by Swarm intelligence algorithm an method inspired natural organisms. Node coverage also problem. can solve problem Therefore, this paper focuses on application swarm networks, and proposes a strategy based algorithm: three-dimensional networks equilibrium algorithm. In algorithm, principle to control volume mass balance model, particle concentration update according candidate solution, finally reach state, which mainly consists three stages: population initialization, pool update. simulation, has higher effective than