Research Article | OPEN ACCESS
Fault Tolerant Tree Management for Node Failures in Wireless Sensor Network
1S. Kamalesh, 2P. Ganesh Kumar and 3A. Wazim Raja
1Anna University, Chennai, India
2Linyi Top Network Co., Ltd., Linyi City, Shangdong Province, China
3Department of IT, ME-Network Engineering, Velammal College of Engineering and Technology,
KLNCE, Sivaganga Dt., Madurai, India
Research Journal of Applied Sciences, Engineering and Technology 2015 4:440-446
Received: April 27, 2015 | Accepted: May 28, 2015 | Published: October 05, 2015
Abstract
Today, Wireless Sensor Network (WSN) is a vital technology required in every phase of development. During data aggregation in Wireless Sensor Network (WSN), there may be possibility of various types of failures. Apart from hardware failures, failures may occur due to bad channel conditions and energy drain. Hence a routing tree should be built towards each sink which is fault tolerant. In this study, we propose to develop a fault tolerant tree management technique in which every node selects a path towards the sink effectively and also maintains a backup path simultaneously. This can be achieved by mutual communication between the neighboring nodes in the network. The backup path is selected based on the link quality, residual energy and load metrics. Simulation results show that the proposed technique reduces the delay and overhead and improves packet delivery ratio.
Keywords:
Fault tolerant tree, packet delivery ratio, wireless sensor network,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
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