A Fault-Tolerant Target Location Detection Algorithm in Sensor Networks

This paper focuses on the fault-tolerant target detection and localization in sensor networks. Typical applications include the habitat monitoring and roadway safety warning. We propose an algorithm for target detection and localization to improve the target position accuracy. Our algorithm is purely localized and thus is suitable for large scale of sensor networks. The computational overhead is low since the detection algorithm is based on a simple clustering technique which only simple numerical operations are involved. Simulation results show that our algorithm can decrease the false alarm rate and improve the target localization accuracy when as many as 30% sensors become faulty. Therefore, our algorithm achieves a great improvement over the previous algorithms.