Lateration-Specific Localization Algorithm for Wireless Sensor Networks

Abstract

Abstract: The Received Signal Strength Indicator (RSSI) is a low-cost ranging technique that is commonly used to locate nodes in outdoor Wireless Sensor Networks (WSNs), however it can sometimes provide erroneous position estimations. This is mostly due to the interplay between the reference nodes' influence on distance estimation mistakes and localization geometry. Analysis of distance estimation errors and localization geometry is necessary for the development of methods for decreasing location error. This work seeks to enhance the quality of range-based trilateration localization for WSN nodes in a variety of outdoor environments in order to meet these difficulties. Analyses of the localization error caused by range error and localization geometry have been performed using actual RSSI measurement data. An Adaptive Range-Based Localization (ARBL) technique is suggested that utilizes trilateration and reference node selection to enhance location accuracy and precision; its performance is then assessed by analyzing the gathered data. The technique makes use of a number of different permutations of reference nodes in order to determine the most accurate way to predict a node's position at any given instant. Based on the findings, it seems that the suggested method is effective in lowering the location error. As such, it may be concluded that range-based trilateration localization can provide enough location precision.

Index Terms: Wireless Sensor Networks, ARBL Method, Trilateration, Reference Node Selection, Localization, Anchor Nodes.