Research on glowworm swarm optimization localization algorithm based on wireless sensor network

For sensor network, the localization of node is one of the current hotspots. In order to improve the localization precision of the unknown nodes, a glowworm swarm optimization localization (GSOL) algorithm is proposed to be applied in wireless sensor network (WSN). Through multiple iterations to solve the optimization issue, the location of unknown nodes can be acquired, and fitness function can be founded. The proposed algorithm can be used for node localization in multidimensional space. The effectiveness of the algorithm has been theoretic analyzed and verified by simulation. The accuracy and stability of node localization have been largely improved, and the performance of the algorithm is much better in case of a bit larger ranging error exist.