Wireless Sensor Networks Coverage Optimization based on Improved AFSA Algorithm

How to best solve the coverage problem has always been a critical issue in wireless sensor networks; this paper focuses on redundant network nodes, short life cycle and other defects and firstly sets nodes utilization and network effective coverage as optimization goals, so as to establish relevant mathematical model, and then introduce the inverse Gaussian mutation algorithms on AFSA, making the improved algorithm to solve the model, and get the optimal coverage scheme for wireless sensor networks. Simulation results show that the improved AFSA can effectively improve the coverage of wireless sensor network nodes, effectively reducing network costs, and the network lifetime has been extended.