NDLI: A Cellular Approach to Fault Detection and Recovery in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Asim, M. Mokhtar, H. Merabti, M.
Copyright Year	2009
Abstract	In the past few years wireless sensor networks have received a greater interest in application such as disaster management, border protection, combat field reconnaissance and security surveillance. Sensor nodes are expected to operate autonomously in unattended environments and potentially in large numbers. Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended deployment. The data communication and various network operations cause energy depletion in sensor nodes and therefore, it is common for sensor nodes to exhaust its energy completely and stop operating. This may cause connectivity and data loss. Therefore, it is necessary that network failures are detected in advance and appropriate measures are taken to sustain network operation. In this paper we extend our cellular architecture and proposed a new mechanism to sustain network operation in the event of failure cause of energy-drained nodes. In our solution the network is partitioned into a virtual grid of cells to perform fault detection and recovery locally with minimum energy consumption. Specifically, the grid based architecture permits the implementation of fault detection and recovery in a distributed manner and allows the failure report to be forwarded across cells. The proposed failure detection and recovery algorithm has been compared with some existing related work and proven to be more energy efficient.
Starting Page	352
Ending Page	357
File Size	275572
Page Count	6
File Format	PDF
ISBN	9780769536699
DOI	10.1109/SENSORCOMM.2009.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-18
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Data security Sensor Networks fault detection Cellular networks fault recovery Wireless sensor networks Fault detection Surveillance Reconnaissance Energy efficiency Data communication grid-clustering Protection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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