Coverage optimization strategy based on co-evolution bee colony algorithm

To improve the monitoring of the regional network coverage,the locations of mobile nodes are optimized in wireless sensor networks with mobile nodes.Traditional bee colony algorithm exists the phenomenon of prematurely mature and late slow convergence.To overcome this shortcoming,the co-evolution mechanism is introduced colony algorithm to increase the diversity of solutions and accelerate the convergence process.A co-evolutionary artificial bee colony based coverage optimization strategy is proposed.What′s more,for the nodes in the process of moving the path detour phenomenon,based on greedy method,a motion path optimization strategy is proposed.Simulation show that coverage optimization results by co-evolution bee colony algorithm is better than particle swarm optimization and artificial bee colony.Mobile path optimization strategies can effectively reduce the moving distance of nodes.