Optimizing Node Localization in Wireless Sensor Networks Based on Received Signal Strength Indicator

Abstract

In order to improve the precision of inside localization and optimize the allocation of node resources in wireless sensor networks (WSNs), an equal-arc trilateral localization algorithm based on received signal strength indicator (RSSI) is proposed from the perspective of increasing measurement precision and bettering beacon nodes layout. The algorithm adopts Kalman filter to filter the data collected from the best communication range, thus the disturbance problem of RSSI value can be tackled easily. By analyzing the changeable relationship between the communication distance and the RSSI, an optimal communication distance can be identified to satisfy the application requirements. In this paper, an equal-arc triangular beacon node layout model is established to ensure that the motion tracks of unknown nodes are always situated within an optimal communication distance to improve the measurement precision. The experimental results show that the proposed work increases the average location accuracy of the equal-arc triangulation layout model by 81%, 54%, and 48%, respectively, compared with the traditional square beacon model, the traditional equilateral triangle beacon model, and the improved equilateral triangle beacon model. In comparison with the traditional triangular layout, the equal-arc layout area coverage is increased by 23%.

Keywords

• Wireless sensor networks
• RSSI
• Kalman filtering
• equal-arc triangular
• particle swarm algorithm