Received Signal Power based Sensor Zone Estimation with Maximum Likelihood Approach

In this paper, we divide a region of interest into several zones, where a sensor node could exist in one of them, and consider the problem of estimating the zone to which it belongs. We propose a zone estimation method from the information of received signal power observed at the sensor node using maximum likelihood (ML) approach without using any distance measuring device. The estimation success probability of the proposed method is demonstrated via computer simulations. We also demonstrate the success probability of the proposed method using real data of the received power obtained through measurements.