Empirical performance of RSSI-based Monte Carlo localisation for active RFID patient tracking systems

W.P.L. Cully, S.L. Cotton, W.G. Scanlon

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The range of potential applications for indoor and campus based personnel localisation has led researchers to create a wide spectrum of different algorithmic approaches and systems. However, the majority of the proposed systems overlook the unique radio environment presented by the human body leading to systematic errors and inaccuracies when deployed in this context. In this paper RSSI-based Monte Carlo Localisation was implemented using commercial 868 MHz off the shelf hardware and empirical data was gathered across a relatively large number of scenarios within a single indoor office environment. This data showed that the body shadowing effect caused by the human body introduced path skew into location estimates. It was also shown that, by using two body-worn nodes in concert, the effect of body shadowing can be mitigated by averaging the estimated position of the two nodes worn on either side of the body.
Original languageEnglish
Pages (from-to)173-184
Number of pages12
JournalInternational Journal of Wireless Information Networks
Volume19
Issue number3
DOIs
Publication statusPublished - 01 Sep 2012

Bibliographical note

Copyright 2012 Elsevier B.V., All rights reserved.

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    R1118ECI: Centre for Secure Information Technologies (CSIT)

    McCanny, J. V., Cowan, C., Crookes, D., Fusco, V., Linton, D., Liu, W., Miller, P., O'Neill, M., Scanlon, W. & Sezer, S.

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