Robust Localization Based on Adjustment of Trilateration Network for Wireless Sensor Networks

Abstract

Localization of sensor nodes is a challenging and crucial issue in wireless sensor networks (WSNs), and high precision and low cost algorithms become the research direction. In this paper, a robust and accurate localization algorithm based on adjustment of trilateration network (LATN) for WSNs is presented. Firstly, uncomplicated distributed algorithm is used for estimating position of the nodes, and the length of sides between neighbor nodes are gotten by RSSI measurement, subsequently, the information of every node is aggregated at sink node, and trilateration network will be constructed. According to the least square principle, localization error of whole network is depressed and precision of each node are estimated by mutual restraints of position error and side measurement error. Simulation results show that LATN is robust and not affected by network topology. In isotropic topology network, while average node degree of 10, reference node ratio is 20% and with side measurement error 0.1, the position error is improved 14% and 5% than DV-hop and DV-distance respectively.