A two-stage centroid localization algorithm for wireless networks (WSNs) based on received signal strength (RSS) is proposed. In the first stage, the unknown node performs symmetric lens presence tests to construct a virtual neighboring anchor list. By using the locations of two neighboring anchors and the RSS relationships, a symmetric lens presence test determines a residence area of the unknown node which is geometrically shaped as a half-symmetric lens. The centroid of the estimated residence area is then defined as a virtual neighboring anchor. In the second stage, the location of the unknown node is estimated based on the virtual neighboring anchor locations, using the centroid formula. Simulation results show that the proposed method has better performance compared to other two typical range-free localization methods.
['Zengfeng Wang', 'Yujuan Sun', 'Hao Zhang', 'Tingting Lu']
Two-Stage Centroid Localization for Wireless Sensor Networks Using Received Signal Strength