A Novel Method for Energy Efficiency Comparison using Optimization Methods in Manet

Authors

  • Nathiya. K  ME-Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India
  • Raja. R  Assistant Professor, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT1952341

Keywords:

MANET, Minimum Cost Routing, Energy Balancing, Network Lifetime Improvement, Fuzzy Logic.

Abstract

Mobile Adhoc Network (MANET) are resource constrained. Energy is one of the most important resources in such networks. Therefore, optimal use of energy is necessary. In this project, we present a novel energy-efficient routing protocol for MANETs. We propose a Scattered Based Energy-aware Fuzzy Logic based routing algorithm (SBFL) that simultaneously addresses energy efficiency and energy balancing. Our design captures network status through appropriate energy metrics and maps them into corresponding cost values for the shortest path calculation. We seek fuzzy logic approach for the mapping to incorporate human logic. We compare the network lifetime performance of SBFL with other popular solutions including GA and ACO. Rigorous simulation results depict the energy efficiency, throughput, and prolonged lifetime of the nodes under the influence of the proposed protocol. Future scope of this work is outlined.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nathiya. K, Raja. R, " A Novel Method for Energy Efficiency Comparison using Optimization Methods in Manet , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1293-1300, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952341