Amorphous localization algorithm based on BP artificial neural network

Accurate localization of nodes is one of the key issues of wireless sensor network (WSN). Because the disadvantages of the classical Amorphous algorithm will produce large localization error in the process of localization. In order to solve the problem, an improved localization algorithm is proposed in this paper to reduce the localization error. The improved algorithm introduces the received signal strength threshold to modify the minimum hop from the unknown node to the beacon node, then BP algorithm is introduced to optimize the threshold and reduce the localization error. The simulation results show that the improved algorithm is better than other algorithms in the localization accuracy and energy consumption, and it is simple to achieve in the hardware.