An Adaptive Approach to Discriminate the Persistence of Faults in Wireless Sensor Networks | Zendy

Arunanshu Mahapatro | Zendy; Pabitra Mohan Khilar | Zendy

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An Adaptive Approach to Discriminate the Persistence of Faults in Wireless Sensor Networks

Author(s) -

Arunanshu Mahapatro,

Pabitra Mohan Khilar

Publication year - 2012

Publication title -

isrn sensor networks

Language(s) - English

Resource type - Journals

ISSN - 2090-7745

DOI - 10.5402/2012/342461

Subject(s) - wireless sensor network , robustness (evolution) , parametric statistics , computer science , persistence (discontinuity) , transient (computer programming) , wireless , fault detection and isolation , real time computing , fault (geology) , engineering , computer network , artificial intelligence , telecommunications , mathematics , geology , statistics , biochemistry , chemistry , geotechnical engineering , seismology , actuator , gene , operating system

This paper presents a parametric fault detection algorithm which can discriminate the persistence (permanent, intermittent, and transient) of faults in wireless sensor networks. The main characteristics of these faults are the amount the fault appears. We adopt this state-holding time to discriminate transient from intermittent faults. Neighbor-coordination-based approach is adopted, wherefaulty sensor nodes are detected based on comparisons between neighboring nodes and dissemination of the decision made at each node. Simulation results demonstrate the robustness of the work at varying transient fault rate.

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