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A review of fault management system in wireless sensor network

Published: 03 September 2012 Publication History

Abstract

Wireless Sensor Networks (WSN) has gathered a considerable amount of attention because of its manifold application in various fields like defense, health monitoring, environment monitoring and disaster management. Though WSN has conquered the world due to its dynamicity still it is very much fault prone because of the reason that the sensors and actuators of the sensor node has to interact directly with the unpredictable environment, where it may be subjected to various physical, chemical and biological forces. To make a WSN more reliable and dependable various fault management systems are employed. Better the fault management higher is the reliability of the WSN. The aim of our paper is to review the functionality of some of the existing fault management systems including their architecture and present a comparative study.

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Cited By

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  • (2022)Fault Tolerance Structures in Wireless Sensor Networks (WSNs): Survey, Classification, and Future DirectionsSensors10.3390/s2216604122:16(6041)Online publication date: 12-Aug-2022
  • (2020)Fault Tolerance Mechanism Combining Static Backup and Dynamic Timing Monitoring for Cluster HeadsIEEE Access10.1109/ACCESS.2020.29777598(43277-43288)Online publication date: 2020
  • (2016)Comparative study of fault recovery techniques in Wireless Sensor Network2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)10.1109/WIECON-ECE.2016.8009102(130-133)Online publication date: Dec-2016
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cover image ACM Other conferences
CUBE '12: Proceedings of the CUBE International Information Technology Conference
September 2012
879 pages
ISBN:9781450311854
DOI:10.1145/2381716
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • CUOT: Curtin University of Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 September 2012

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Author Tags

  1. fault management system
  2. faults
  3. wireless sensor network

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Cited By

View all
  • (2022)Fault Tolerance Structures in Wireless Sensor Networks (WSNs): Survey, Classification, and Future DirectionsSensors10.3390/s2216604122:16(6041)Online publication date: 12-Aug-2022
  • (2020)Fault Tolerance Mechanism Combining Static Backup and Dynamic Timing Monitoring for Cluster HeadsIEEE Access10.1109/ACCESS.2020.29777598(43277-43288)Online publication date: 2020
  • (2016)Comparative study of fault recovery techniques in Wireless Sensor Network2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)10.1109/WIECON-ECE.2016.8009102(130-133)Online publication date: Dec-2016
  • (2015)Parent Selection Based on Link Quality Estimation in WSNProceedings of the Second International Conference on Computer and Communication Technologies10.1007/978-81-322-2517-1_60(629-637)Online publication date: 5-Sep-2015
  • (2014)Energy aware fault tolerant framework in Wireless Sensor Network2014 Applications and Innovations in Mobile Computing (AIMoC)10.1109/AIMOC.2014.6785532(139-145)Online publication date: Feb-2014
  • (2014)A user centred design evaluation of the potential benefits of advanced wireless sensor networks for fire-in-tunnel emergency responseFire Safety Journal10.1016/j.firesaf.2013.11.00763(79-88)Online publication date: Jan-2014

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