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Open Access

Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms

  • Paul Cotae1Email author,
  • Sireesha Yalamnchili1,
  • C. L. Philip Chen1 and
  • Arturo Ayon1
EURASIP Journal on Advances in Signal Processing20072008:280346

Received: 10 June 2007

Accepted: 8 October 2007

Published: 12 November 2007


The global optimization of sensor locations and a sensitivity analysis based on the minimization of interferences due to wireless communications between sensors are studied in the presence of additive white Gaussian noise (AWGN). We used a Gram matrix approach for robust determination of sensor locations by minimizing the interferences (maximizing the signal strength) among sensors for engine health monitoring systems. In order to solve the problem of optimum placement, an iterative algorithm for maximizing the determinant of the Gram matrix is proposed and implemented. The sensitivity criterion proposed in this paper is the spectral number of the Frobenius norm of the Gram matrix associated with sensor readings. We derived the necessary conditions under which the number of sensors and the optimal sensor locations will remain unchanged when the data measured for sensitivity analysis is affected by AWGN. Our theoretical results are verified by simulations providing details concerning numerical implementations.


Sensitivity AnalysisIterative AlgorithmAdditive White Gaussian NoiseNumerical ImplementationSensor Location

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Authors’ Affiliations

Department of Electrical and Computer Engineering, Wireless Sensor Network Laboratory, University of Texas at San Antonio, San Antonio, USA


© Paul Cotae et al. 2008

This article is published under license to BioMed Central Ltd. 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.