The analysis of anchor placement for self-localization algorithm in wireless sensor networks

Abstract

In range-based localization systems of wireless sensor networks, a small fraction of nodes in the network have known locations while the remaining keep unknown. However, with the change of the anchors distribution, the positioning accuracy of the localization algorithm is quite different. Therefore, we use parameter estimation theory to analyze the node location problem, model the distance measuring with multiplicative normal noise model, and drive the Cramer-Rao lower bound of location. Through simulation we find an effective anchor placement strategy. Compared with random deployment, the proposed strategy provides higher positioning accuracy. © 2013 Springer-Verlag.