A Distributed Fault Tolerance Mechanism for Self-Maintenance of Clusters in Wireless Sensor Networks

Wireless sensor networks (WSNs) have wide range of applications and provide limitless potential in our life. Unfortunately, they usually are prone to failure due to energy consumption, hardware failure, communication link errors, or malicious attacks. Therefore, fault tolerance mechanism is mandator...

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Bibliographic Details
Published in:Arabian journal for science and engineering (2011) 2018-12, Vol.43 (12), p.6891-6907
Main Authors: Elsayed, Walaa M., Sabbeh, Sahar F., Riad, Alaa M.
Format: Article
Language:English
Subjects:
Clusters
Energy consumption
Engineering
Environmental engineering
Failure
Fault detection
Fault tolerance
Hardware
Humanities and Social Sciences
multidisciplinary
Nodes
Reliability
Remote sensors
Repair
Research Article - Computer Engineering and Computer Science
Science
Sensors
Wireless sensor networks
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Summary:Wireless sensor networks (WSNs) have wide range of applications and provide limitless potential in our life. Unfortunately, they usually are prone to failure due to energy consumption, hardware failure, communication link errors, or malicious attacks. Therefore, fault tolerance mechanism is mandatory while designing the WSN. Fault tolerance includes fault detection, diagnosis, and repair. In the majority of WSN environments, fault tolerance is enforced and managed centrally at cluster head level. In this work, we present a distributed self-healing approach (DSHA), in which the processes of fault detection, diagnosis, and repair are performed at both node level and cluster head level. The proposed mechanism succeeded in locating hardware failures in sensor nodes, diagnosing them and applying countermeasures to ensure reliability and resiliency of the WSN. The countermeasures included isolating malfunction nodes and topology modifications. The experimental results proved that DSHA could tolerate up to 67.3% of hardware components failures and announce 62.6% improvement in the rate of sensor network lifetime.
ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-017-2868-5