RSS Based Localization Scheme Using Angle-Referred Calibration in Wireless Sensor Networks

Authors:
Tran-Xuan Cong;Eun-Chan Kim;Insoo Koo
Affiliations:
School of Electrical Engineering, University of Ulsan,;Department of Information and Communications, Gwangju Institute of Science and Technology,;School of Electrical Engineering, University of Ulsan,
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

In wireless sensor networks (WSNs), one of the conventional techniques for localization is the received signal strength (RSS) method where the RSS is utilized to get the distance measurement spatially between sensor nodes. However, in real localization system, the RSS is sensitively affected by many surrounding factors and tends to be unstable, so that it degrades accuracy in distance measurement. In this paper, we propose the angle-referred calibration based RSS method where angle relation between sensor nodes is used to perform the calibration for better performance in distance measurement. As results, the proposed scheme shows that it can provide a higher precision than the omni-direction calibration.