Experimental Evaluation of Indoor Localization Using Wireless Sensor Networks

Abstract

Wireless sensor network (WSN) is a potential approach to indoor localization. Receiver signal strength indicator (RSSI), time of arrival (TOA), and time difference of arrival (TDOA) are three main techniques that have been considered for WSN localization. In this paper, we evaluate the different WSN-based localization methods in real experimental environments. In addition, we propose a technique to minimize the computational cost while conserving the robustness of steered response power-based phase transition algorithm. It is shown here that the practical localization can be performed using real-life acoustic WSN.