A New Node Self-Localization Algorithm Based RSSI for Wireless Sensor Networks

In various applications of wireless sensor network, sensor nodes must know their location information to fulfill further assignments such as target real-time monitoring and target tracking. In this paper, a new node self-localization algorithm based on the received signal strength indicator (RSSI) is proposed. The new algorithm takes both triangle centroid localization algorithm (ACLA) and approximate point-in-triangulation test (APIT) algorithm into consideration. In this algorithm, the triangle centroid localization model is improved by optimizing the coefficient of the weighted centroid. And in order to solve non-idealized triangle problem, we make use of APIT to select idealized triangle for localization. The simulation results show that the improved algorithm has less localization error compared to the existing RSSI algorithm.