Accurate localization of nodes is one of the key issues of wireless sensor network (WSN). Considering the proportion of beacons in the network, localization algorithm based on sub-anchors and BP network is proposed in this paper to virtually increase the number of the anchors, and the method of finding appropriate sub-anchors is brought up by the virtual nodes leading to higher localization accuracy. Such algorithm utilizes not only the parallelism of neural networks but also the hops of the nodes, so that it is simple and easy to achieve in the hardware. The simulation shows the effectiveness of using virtual nodes to find sub-anchors, and indicates that sub-anchors and virtual nodes based on BP neural network could greatly improve the accuracy of the unknown nodes and reduce the costs of WSN.
展开▼
