Analysis and Implementation of Q-Leach Protocol Based On Genetic Algorithm for WSN

Authors

  • G. R. AnnushaKumar  Assistant professor in Electronics and Communication Engineering, Annamalai University, Chidambaram, Tamil Nadu, India
  • V. Padmathilagam  Assistant Professor in Electrical and Electronics Engineering, Annamalai University, Chidambaram, Tamil Nadu, India

Keywords:

Wireless Sensor Networks, Routing, LEACH Protocol, Genetic Algorithm, Energy Management, Lifetime Of WSNs

Abstract

Wireless sensor networks have gained widespread significance in recent times due to their immense potentials that could be tapped for a wide range of applications. The evolution of wireless network protocols like 4G, 5G etc. has further accelerated the research prospects of wireless sensor networks. Among the many features of WSNs, one of the most important factors is that they could be deployed in remote locations where human intervention or presence is not possible or undesirable. Nodes in remote locations are powered by batteries which cannot be often replaced and hence appropriate energy management strategies form an integral part of an effective WSN deployment. Routing plays an essential role and forms the backbone of any WSN implementation. A well-known routing technique known as LEACH protocol and its variants have been extensively investigated and experimented in this research paper and a comprehensive comparative performance analysis has been inferred from this research article. A modified hybrid fusion routing algorithm Q LEACH has been proposed in this paper and maximum lifetime of the first and half the nodes is optimized using Genetic algorithm, with help of this methods lifetime is increased.

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Published

2018-04-28

Issue

Section

Research Articles

How to Cite

[1]
G. R. AnnushaKumar, V. Padmathilagam, " Analysis and Implementation of Q-Leach Protocol Based On Genetic Algorithm for WSN, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 3, pp.01-12, March-April-2018.