A Censoring and Quantization Scheme for Energy-Based Target Localization in Wireless Sensor Networks

Abstract

This article presents a censoring and quantization scheme for energy-based target localization in wireless sensor networks (WSNs). This scheme can save energy and communication bandwidth. Moreover, a multi-objective optimization method is used to balance the energy consumption and target localization performance of the energy-based target localization method using this scheme. Results show that the root square mean (RMS) errors provided by the energy-based target localization method using this scheme were close to the Cramer-Rao lower bound (CRLB). Moreover, the Pareto-fronts provided by the multi-objective optimization method can guide practical applications.