Fault detection in wireless sensor networks: A hybrid approach

Ehsan Warriach, Tuan Anh Nguyen, Kenji Tei, Marco Aiello

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

12 Citations (Scopus)

Abstract

Wireless Sensor Network (WSN) deployment experiences show that data collected is prone to be imprecise and faulty due to internal and external influences, such as battery drain, environmental interference, sensor aging. An early detection of such faults is necessary for the effective operation of the sensor network. In this preliminary work, we propose a hybrid approach to the detection of faults and we illustrate its performance on data coming from a real sensor deployment. The proposal is a first step to have a hybrid method towards automated on-line fault detection and classification in context-aware WSNs middleware framework.

Original languageEnglish
Title of host publicationIPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks
Pages87-88
Number of pages2
DOIs
Publication statusPublished - 2012 May 8
Externally publishedYes
Event11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12 - Beijing, China
Duration: 2012 Apr 162012 Apr 20

Other

Other11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12
CountryChina
CityBeijing
Period12/4/1612/4/20

    Fingerprint

Keywords

  • Data & system faults
  • Hybrid fault detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Warriach, E., Nguyen, T. A., Tei, K., & Aiello, M. (2012). Fault detection in wireless sensor networks: A hybrid approach. In IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks (pp. 87-88) https://doi.org/10.1145/2185677.2185690