article

Fault detection of wireless sensor networks

Authors:

Myeong-Hyeon Lee,

Yoon-Hwa ChoiAuthors Info & Claims

Computer Communications, Volume 31, Issue 14

Pages 3469 - 3475

https://doi.org/10.1016/j.comcom.2008.06.014

Published: 01 September 2008 Publication History

Abstract

This paper presents a distributed fault detection algorithm for wireless sensor networks. Faulty sensor nodes are identified based on comparisons between neighboring nodes and dissemination of the decision made at each node. Time redundancy is used to tolerate transient faults in sensing and communication. To eliminate delay involved in time redundancy scheme a sliding window is employed with some storage for previous comparison results. Simulation results show that sensor nodes with permanent faults are identified with high accuracy for a wide range of fault rates, while most of the transient faults are tolerated with negligible performance degradation.

References

[1]

Akyildiz, I.F., Su, W., Sankarasubramaniam, Y. and Cyirci, E., Wireless sensor networks: a survey. Computer Networks. v38 i4. 393-422.

Digital Library

Google Scholar

[2]

Jaikaeo, C., Srisathapornphat, C. and Shen, C.-C., Diagnosis of sensor networks. International Conference on Communications. v5. 1627-1632.

Google Scholar

[3]

Krishnamachari, B. and Iyengar, S., Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks. IEEE Transactions on Computers. v53 i3.

Digital Library

Google Scholar

[4]

Koushanfar, F., Potkonjak, M. and Sangiovanni-Vincentelli, A., On-line fault detection of sensor measurements. IEEE Sensors. v2. 974-980.

Google Scholar

[5]

L.B. Ruiz, I.G. Siqueira, L.B. Oliveira, H.C. Wong, J.M.S. Nogueira, A.A.F. Liureiro, Fault management in event-driven wireless sensor networks, in: MSWIM'04, 2004.

Digital Library

Google Scholar

[6]

S. Chessa, P. Santi, Comparison-based system-level fault diagnosis in ad hoc networks, in: 20th Symp. Reliable Dist. Syst., 2001, pp. 257-266.

Google Scholar

[7]

M. Elhadef, A. Boukerche, H. Elkadiki, Performance analysis of a distributed comparison-based self-diagnosis protocol for wireless ad hoc networks, in: International Workshop Modeling Analysis and Simulation of Wireless and Mobile Systems, 2006, pp. 165-172.

Digital Library

Google Scholar

[8]

Ding, M., Chen, D., Xing, K. and Cheng, X., Localized fault-tolerant event boundary detection in sensor networks. IEEE Infocom. 902-913.

Google Scholar

[9]

J. Chen, S. Kher, A. Somani, Distributed fault detection of wireless sensor networks, in: Proceedings of 2006 Workshop DIWANS, pp. 65-72.

Digital Library

Google Scholar

[10]

M.-H. Lee, Y.-H. Choi, Localized detection of faults in wireless sensor networks, in: ICACT, 2008, pp. 637-641.

Google Scholar

[11]

Luo, X., Dong, M. and Huang, Y., On distributed fault-tolerant detection in wireless sensor networks. IEEE Transactions on Computers. v55 i1. 58-70.

Digital Library

Google Scholar

[12]

Yu, M., Mokhtar, H. and Merabti, M., Fault management in wireless sensor networks. IEEE Wireless Communications. 13-19.

Digital Library

Google Scholar

Cited By

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Prasad RBaghel R(2023)Self-detection based fault diagnosis for wireless sensor networksAd Hoc Networks10.1016/j.adhoc.2023.103245149:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.adhoc.2023.103245
Alwan ABrimicombe ACiupala MGhorashi SBaravalle AFalcarin P(2022)Time-series clustering for sensor fault detection in large-scale Cyber–Physical SystemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109384218:COnline publication date: 9-Dec-2022
https://dl.acm.org/doi/10.1016/j.comnet.2022.109384
Swain RDash TKhilar P(2022)Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive SurveyWireless Personal Communications: An International Journal10.1007/s11277-022-09916-3127:4(3211-3243)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s11277-022-09916-3
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Index Terms

Fault detection of wireless sensor networks
1. Networks
  1. Network services
    1. Network monitoring
  2. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

Computer Communications Volume 31, Issue 14

September, 2008

496 pages

ISSN:0140-3664

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2008

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Prasad RBaghel R(2023)Self-detection based fault diagnosis for wireless sensor networksAd Hoc Networks10.1016/j.adhoc.2023.103245149:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.adhoc.2023.103245
Alwan ABrimicombe ACiupala MGhorashi SBaravalle AFalcarin P(2022)Time-series clustering for sensor fault detection in large-scale Cyber–Physical SystemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109384218:COnline publication date: 9-Dec-2022
https://dl.acm.org/doi/10.1016/j.comnet.2022.109384
Swain RDash TKhilar P(2022)Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive SurveyWireless Personal Communications: An International Journal10.1007/s11277-022-09916-3127:4(3211-3243)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s11277-022-09916-3
Huang DLiu WBi J(2021)Data tampering attacks diagnosis in dynamic wireless sensor networksComputer Communications10.1016/j.comcom.2021.03.007172:C(84-92)Online publication date: 15-Apr-2021
https://dl.acm.org/doi/10.1016/j.comcom.2021.03.007
Masdari M(2020)Towards effective fault detection in heterogeneous wireless sensor networksInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/ijahuc.2020.10666433:4(216-228)Online publication date: 1-Jan-2020
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Hare JSong JGupta SWettergren T(2020)POSE.RACM Transactions on Sensor Networks10.1145/341975517:1(1-41)Online publication date: 25-Nov-2020
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Stephen NFeng YGershon RBonsu K(2019)Integrated Round Trip Path Dual Registers (RTPDR) Fault DetectionProceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control10.1145/3386164.3389105(1-6)Online publication date: 25-Sep-2019
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Swain RDash TKhilar P(2019)A complete diagnosis of faulty sensor modules in a wireless sensor networkAd Hoc Networks10.1016/j.adhoc.2019.10192493:COnline publication date: 1-Oct-2019
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Yarinezhad RHashemi S(2019)Distributed faulty node detection and recovery scheme for wireless sensor networks using cellular learning automataWireless Networks10.1007/s11276-019-02005-725:5(2901-2917)Online publication date: 1-Jul-2019
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Swain RKhilar PBhoi S(2018)Heterogeneous fault diagnosis for wireless sensor networksAd Hoc Networks10.1016/j.adhoc.2017.10.01269:C(15-37)Online publication date: 1-Feb-2018
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Abstract

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Cited By

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A Fault Detection Scheme Based on Self-Clustering Nodes Sets for Wireless Sensor Networks

Modeling and Analysis of Fault Detection and Fault Tolerance in Wireless Sensor Networks

Heterogeneous fault diagnosis for wireless sensor networks

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