An Improved Genetic Algorithm based Fault Tolerance Method for Distributed Wireless Sensor Networks
DOI:
https://doi.org/10.53555/cse.v3i7.155Keywords:
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.

