A Novel Subspace Approach for Wireless Sensor Network Positioning with Range Measurements

Estimating the positions of sensor nodes is a fundamental and crucial problem in wireless sensor networks. In this paper, a novel subspace approach for range-based measurements node localization is devised. Computer simulations are included to contrast the performance of the proposed algorithm with the conventional subspace positioning method, namely, classical multidimensional scaling, as well as the Cramer-Rao lower bound.