Fault detection in wireless sensor networks

a hybrid approach

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

*Corresponding author for this work

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

13 Citations (Scopus)


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
Subtitle of host publicationproceedings of the 11th international conference on Information Processing in Sensor Networks
Place of PublicationUSA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781479964697
ISBN (Print)9781450312271
Publication statusPublished - 2012
Externally publishedYes
Event11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12 - Beijing, China
Duration: 16 Apr 201220 Apr 2012


Other11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12


  • Data & system faults
  • Hybrid fault detection

Fingerprint Dive into the research topics of 'Fault detection in wireless sensor networks: a hybrid approach'. Together they form a unique fingerprint.

Cite this