Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks

A distributed fault identification algorithm is proposed here to find both hard and soft faulty sensor nodes present in wireless sensor networks. The algorithm is distributed, self-detectable, and can detect the most common byzantine faults such as stuck at zero, stuck at one, and random data. In th...

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Main Authors: Meenakshi Panda, P. M. Khilar
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2014/323754
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spelling doaj-0a388f1e2bde494289c11474b68935de2020-11-24T21:42:08ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2014-01-01201410.1155/2014/323754323754Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor NetworksMeenakshi Panda0P. M. Khilar1Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaDepartment of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaA distributed fault identification algorithm is proposed here to find both hard and soft faulty sensor nodes present in wireless sensor networks. The algorithm is distributed, self-detectable, and can detect the most common byzantine faults such as stuck at zero, stuck at one, and random data. In the proposed approach, each sensor node gathered the observed data from the neighbors and computed the mean to check whether faulty sensor node is present or not. If a node found the presence of faulty sensor node, then compares observed data with the data of the neighbors and predict probable fault status. The final fault status is determined by diffusing the fault information from the neighbors. The accuracy and completeness of the algorithm are verified with the help of statistical model of the sensors data. The performance is evaluated in terms of detection accuracy, false alarm rate, detection latency and message complexity.http://dx.doi.org/10.1155/2014/323754
collection DOAJ
language English
format Article
sources DOAJ
author Meenakshi Panda
P. M. Khilar
spellingShingle Meenakshi Panda
P. M. Khilar
Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
Journal of Computer Networks and Communications
author_facet Meenakshi Panda
P. M. Khilar
author_sort Meenakshi Panda
title Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
title_short Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
title_full Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
title_fullStr Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
title_full_unstemmed Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks
title_sort energy efficient distributed fault identification algorithm in wireless sensor networks
publisher Hindawi Limited
series Journal of Computer Networks and Communications
issn 2090-7141
2090-715X
publishDate 2014-01-01
description A distributed fault identification algorithm is proposed here to find both hard and soft faulty sensor nodes present in wireless sensor networks. The algorithm is distributed, self-detectable, and can detect the most common byzantine faults such as stuck at zero, stuck at one, and random data. In the proposed approach, each sensor node gathered the observed data from the neighbors and computed the mean to check whether faulty sensor node is present or not. If a node found the presence of faulty sensor node, then compares observed data with the data of the neighbors and predict probable fault status. The final fault status is determined by diffusing the fault information from the neighbors. The accuracy and completeness of the algorithm are verified with the help of statistical model of the sensors data. The performance is evaluated in terms of detection accuracy, false alarm rate, detection latency and message complexity.
url http://dx.doi.org/10.1155/2014/323754
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