An Improved Genetic Algorithm based Fault Tolerance Method for Distributed Wireless Sensor Networks

Authors

  • Anagha Nanoti M.Tech student, Department of Computer Science, Rajiv Gandhi College of Engineering, Valarpuram, Tamil Nadu, India
  • R. K. Krishna Department of Electronics, Rajiv Gandhi College of Engineering, Valarpuram, Tamil Nadu, India

DOI:

https://doi.org/10.53555/cse.v3i7.155

Keywords:

Genetic Algorithm (GA), DSNs, Comparative Study.

Abstract

The Combination of Genetic Algorithm (GA) with Distributed Sensor Networks (DSNs) has radically brought new networking paradigms and new applications. These Distributed Sensor networks can communicate to achieve higher levels of co-ordinate behavior.However these networks often suffer from various failures since they are deployed in critical  environments. The main objective is to organize such a network which consumes less energy and  fault tolerant using Genetic Algorithms. In this paper, we get the dynamic outcomes of implementation of Genetic Algorithm on such networks. The comparative study of Simple GA used in existing system is done with GA implemented in current system. This paper aims to show various graphical representations after comparison.

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References

D. E. Goldberg, “Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, MA, 1989.

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Published

2017-07-31

How to Cite

Nanoti, A., & Krishna, R. K. (2017). An Improved Genetic Algorithm based Fault Tolerance Method for Distributed Wireless Sensor Networks. International Journal For Research In Advanced Computer Science And Engineering, 3(7), 01–05. https://doi.org/10.53555/cse.v3i7.155

Issue

Vol. 3 No. 7 (2017): International Journal For Research In Advanced Computer Science And Engineering

Section

Articles

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Copyright (c) 2017 gnpublication@

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