Priority Based Localization for Anisotropic Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSN) are used in a number of applications like volcanic monitoring, forest fire control systems for monitoring and control of the events. Networks are formed by the random deployment of nodes in the required fields, which are usually anisotropic. Locations of the deployed nodes are essential to act on the collected data. To estimate the locations of nodes in the network, a number of localization algorithms are developed which make use of techniques such as hop distances and centroid to estimate the positions of nodes. These algorithms showed sub-optimal results when tested in anisotropic fields with obstructions. In this work, a priority based localization algorithm is reported, which gives priority to a few reference nodes based on their Average Hop Distances (AHD). Nodes are then localized with weighted centroid method using high priority reference nodes. The simulation results show that the localization results of the reported algorithm is better than the existing weighted centroid methods in anisotropic fields.