DALT: Double anchor-based localization technique for wireless sensor networks using RSS and Aoa measures

Abstract

Tracking the location of target nodes/objects plays a vital role in disaster management and emergency rescue operations. The wireless sensor network is an easiest and cheapest solution to track the target nodes/objects in emergency applications. Use of GPS installed devices in wireless sensor networks is one of the solutions to track the target node’s location. Installing GPS device on every target node is very expensive and the GPS device drains the battery power, and increases the size of sensor nodes. Localization is an alternative solution to track the target node’s location. Many localization algorithms are available to track/estimate the target node’s location coordinates, but the accuracy of the estimated target nodes is poor. A new localization technique is proposed in this work to improve the accuracy of the estimated location of the target nodes. The proposed technique uses two anchor nodes, and parameters like linear vector segments, received signal strength, and angle of arrival measures in the location estimation process. This work has been simulated in MATLAB. The proposed algorithm outperforms the existing localization techniques.