Fault detection in wireless sensor networks: A hybrid approach

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

doi:10.1145/2185677.2185690

Fault detection in wireless sensor networks: A hybrid approach

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

^*Corresponding author for this work

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

17 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 language	English
Title of host publication	IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks
Pages	87-88
Number of pages	2
DOIs	https://doi.org/10.1145/2185677.2185690
Publication status	Published - 2012
Externally published	Yes
Event	11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12 - Beijing, China Duration: 2012 Apr 16 → 2012 Apr 20

Publication series

Name	IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks

Other

Other	11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12
Country/Territory	China
City	Beijing
Period	12/4/16 → 12/4/20

Keywords

Data & system faults
Hybrid fault detection

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1145/2185677.2185690

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). (IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks). https://doi.org/10.1145/2185677.2185690

Fault detection in wireless sensor networks: A hybrid approach. / Warriach, Ehsan; Nguyen, Tuan Anh; Tei, Kenji et al.
IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks. 2012. p. 87-88 (IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks).

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

Warriach, E, Nguyen, TA, 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. IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks, pp. 87-88, 11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12, Beijing, China, 12/4/16. https://doi.org/10.1145/2185677.2185690

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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.",

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language = "English",

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AB - 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.

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Fault detection in wireless sensor networks: A hybrid approach

Abstract

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Keywords

ASJC Scopus subject areas

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