International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Fault Tolerance Approach in Distributed Sensor Networks using Genetic Algorithm

Authors:Anagha Nanoti || Prof. R. K. Krishna

Abstract:Nature has always been a great source of inspiration to all kind of researches so far. Genetic Algorithms (GA) were invented to mimic some of processes observed in natural evolution by John Holland in 1970s. GA simulates “survival of fittest” among individuals over consecutive generation for solving optimization problems. In this paper considering Fault tolerance as one of the important issues in Distributed Sensor Networks, the Genetic Algorithm has been proven to be the best. The Distributed Sensor Networks are interconnection of tiny, low cost, low-powered and multi-functional sensor nodes. However these DSNs (sensors) are highly prone to malicious attacks, faults due to energy depletion and sometimes due to link failure. When energy in some of the sensor nodes reduces or gets depleted the implementation of Genetic Algorithm have proven to be the masterpiece for development of healthier network than any other algorithms. As we know prevention is better than cure. This paper aims to prevent the sensor nodes from occurring failure. Thus the main objective of the current work is to generate energy efficient DSNs and a way towards fault tolerance.

Keywords: DSNs- Distributed Sensor Networks, GA-Genetic Algorithm, Natural evolution, Energy Depletion, Link Failure

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DOI: 01.1617/vol4/iss8/pid05869


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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