Wireless Sensor Network Localization Based on Semi-Supervised Local Subspace Alignment

Abstract

A semi-supervised local subspace alignment (SSLSA) algorithm for wireless sensor networks localization is presented. SSLSA method has the following features: 1) only using pair-wise distance between each node and its neighbors within a certain communication range, 2) aligning subspaces with the constraints of anchor nodes thus avoiding the accumulation of error, and 3) obtaining absolute positions of all sensor nodes directly without any other transformation process. The localization performance of this method is compared to the MDS-MAP(P, R) and LSA methods.