부산대학교 도서관

In this paper, we mainly consider the problems of coverage and communication blind areas that easily arise after nodes are randomly deployed in areas with harsher natural environments, hazards or battlefields. In order to maximize the WSN coverage performance, a Resampling Particle Swarm Optimization (RPGSOLA) algorithm based on Learning Automata (LA) and Glowworm Swarm Optimization(GSO) is proposed. This algorithm introduces GSO into the Particle Swarm algorithm and combines it with LA to achieve migration deployment control of nodes, then optimize network coverage rate. Simulation experiments show that the network coverage performance of the RPGSOLA is a significant improvement on the RPSOLA algorithm and the RPSO algorithm, meanwhile, it verifies that the node cooperative sensing model obviously outperforms the disc sensing coverage model.