Node localization during power adjustment in wireless sensor networks

Authors:
Hongliang Ren;Max Q.-H. Meng
Affiliations:
Department of Biomedical Engineering, The Johns Hopkins University and Department of Electronic Engineering, The Chinese University of Hong Kong;Department of Electronic Engineering, The Chinese University of Hong Kong
Venue:
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Year:
2009

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Abstract

Node localization is a challenging problem in wireless sensor networks, especially in the scenarios of tuning multiple transmit-powers. In this article, we utilized particle filter to infer static node position from the correlations between Radio Frequency (RF) received signal strength indication (RSSI) and distance under multiple power settings. The RSSI based stochastic measurement model was analyzed and followed by the particle filter design. The simulation results verified the performance of proposed algorithm for localization. The proposed method is contributive in terms of making advantages of multiple transmit power for localization.