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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 212876, 18 pages
http://dx.doi.org/10.1155/2012/212876
Research Article

Wireless Communication Networks for Gas Turbine Engine Testing

1Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK
2Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK
3SELEX Galileo, Basildon SS14 3EL, UK
4Institute for Infocomm Research, A*STAR, Singapore
5Strategic Research Centre, Rolls-Royce plc, P.O. Box 31, Derby DE24 8BJ, UK
6Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd., 16 International Business Park, No. 03-01 M+W Zander, Singapore 609929

Received 1 June 2011; Revised 28 September 2011; Accepted 20 October 2011

Academic Editor: Frank Ehlers

Copyright © 2012 Xuewu Dai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. Augmenting wired with wireless technologies will fuel opportunities for reduced cabling, faster sensor and network deployment, increased data acquisition flexibility, and reduced cable maintenance costs. However, embedding wireless technology into an aero engine (even in the ground testing application considered here) presents some very significant challenges, for example, a harsh environment with a complex RF transmission channel, high sensor density, and high data rate. In this paper we discuss the results of the Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE) project, which aimed to design and simulate such a network to estimate network performance and derisk the wireless techniques before the deployment.