Sensor localization via robust principle component analysis

In the received signal strength (RSS)-based localization problem, in spite of their different formulations, most of the existing methods minimize the measurement errors between sensor nodes, leading to the error diffusion problem. In this paper, aiming at solving this problem, we adopt a fundamentally different optimization strategy to propose a novel localization method exploiting the invariant distance characteristic in the network. To our knowledge, the proposed method is the first one formally dealing with the error diffusion.