The research of coverage algorithm for three-dimensional WSN based on MO-DMS-PSO

Coverage problem is one of the basic problems for Wireless Sensor Networks, which can influence the quality of service of WSN(Wireless Sensor Network). In the research of the coverage problem for Wireless Sensor Networks, we should not only ensure the coverage rate of network, but also think about the other issues, such as energy consumption and connectivity, in this way can the deploying policy which we get conforms to the actual application. In this paper, on the basis of previous studies, this paper set forward a coverage algorithm For three-dimensional WSN based on Multi-Objecs Dynamic Multi-Swarms Particle Swarm Optimization, which takes the coverage rate, energy consumption, connectivity as the targets for multi-objects optimization. And though the simulation, we can get graphs for that the coverage rate, energy consumption and connectivity change with the number of iteration. By comparing with the graph of the ordinary multi-objective Particle Swarm Optimization, we can know that Multi-Objective Dynamic Multi-Swarm Particle Swarm Optimization can effectively avoid the shortcoming of standard PSO. And it can optimize performance of three objects.