Title: Error analysis of quantised RSSI based sensor network localisation

Authors: Hongchi Shi, Xiaoli Li, Yi Shang, Dianfu Ma

Addresses: Department of Computer Science, Texas State University-San Marcos, San Marcos, TX 78666, USA. ' Department of Computer Science, University of Missouri, Columbia, MO 65211, USA. ' Department of Computer Science, University of Missouri, Columbia, MO 65211, USA. ' College of Computer Science and Engineering, Beihang University, Beijing 100083, China

Abstract: Localising sensor nodes is an essential process for self-organising Wireless Sensor Networks (WSNs). A few recently-proposed localisation algorithms use Received Signal Strength Indication (RSSI) readings usually available in WSNs for node localisation. However, the behaviours of RSSI-based localisation systems have not been thoroughly investigated. In this paper, we formulate the problem of localisation using quantised RSSI as a parameter estimation problem and derive the Cramer-Rao Lower Bound (CRLB) for the localisation problem. We then study the effect of quantisation level and network configuration parameters on the lower bound of localisation error variance.

Keywords: self-organising WSN; wireless sensor networks; RSSI; received signal strength indication; sensor node localisation; estimation theory; CRLB; Cramer-Rao lower bound; wireless networks.

DOI: 10.1504/IJWMC.2010.030973

International Journal of Wireless and Mobile Computing, 2010 Vol.4 No.1, pp.31 - 40

Published online: 14 Jan 2010 *

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