Robust distributed estimation using efficient sensor-fault detection in sensor networks

Pei Yin Chen, Li Yuan Chang, Yi Ming Lin, Chih Yuan Lien, Ching Sung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A robust distributed estimation scheme for fusion center in the presence of sensor faults via collaborative sensor fault detection (CSFD) was proposed in our previous research [9]. The scheme can identify the faulty nodes efficiently and improve the accuracy of the estimates significantly. It achieves very good performance at the expense of such extensive computations as logarithm and division in the detecting process. In many real-time WSN applications, the fusion center might be implemented in an ASIC and included in a standalone device. Therefore, a simple and efficient distributed estimation scheme requiring lower computational complexity is extremely desired for fusion center. In this paper, we propose the efficient collaborative sensor fault detection (ECSFD) scheme. A simple method for measuring faulty weight of sensors is designed in ECSFD. Given the low computational complexity, it is suitable for hardware implementation. Simulation results indicate the accuracy of the estimates obtained from the ECSFD better than that obtained from a conventional approach when applied in sensor networks.

Original languageEnglish
Title of host publication2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
Pages38-43
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 2nd International Symposium on Aware Computing, ISAC 2010 - Sapporo, Japan
Duration: 2010 Nov 12010 Nov 4

Publication series

Name2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide

Other

Other2010 2nd International Symposium on Aware Computing, ISAC 2010
CountryJapan
CitySapporo
Period10-11-0110-11-04

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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