Optimal Firefly based Balanced Energy Efficient Multi-hop (BEEM) Algorithm in Wireless Sensor Network

Authors

  • Gaurav Kumar  ECE Department, CTIEMT, Jalandhar, Punjab, India
  • Dr Harjit Pal Singh  ECE Department, CTIEMT, Jalandhar, Punjab, India

DOI:

https://doi.org/10.32628/IJSRST207467

Keywords:

Wireless sensor network, energy efficiency, power control, throughput, BEEM, LEACH and Heterogeneous protocol

Abstract

Life time of sensor network is very crucial and hot topic of research in wireless sensor network (WSN) from past to future. It is crucial due to system recharging and replacing the sensors are difficult and costly affair. Clustering provides some solution to extend the network lifetime. Existing clustering algorithms, such as LEACH and other heterogeneous routing protocol, can significantly minimize the power consumption on each sensor and prolong the network lifetime but not consideration of coverage network area. Balanced Energy Efficient Multi-hop (BEEM) algorithm has implemented to simulated WSN network and the selection of the cluster head on the basis of firefly (FF) optimization algorithm. Performance of the proposed hybrid Algorithm is well suited in terms of energy consumptions, stability period, network lifetime, throughput, Alive & Dead Nodes & other parameters. Proposed algorithm has showed improved result in energy consumption with firefly-BEEM over the existing BEEM.

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-08-30

Issue

Volume 7, Issue 4, July-August-2020

Section

Research Articles

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

How to Cite

[1]
Gaurav Kumar, Dr Harjit Pal Singh "Optimal Firefly based Balanced Energy Efficient Multi-hop (BEEM) Algorithm in Wireless Sensor Network" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 7, Issue 4, pp.213-220, July-August-2020. Available at doi : https://doi.org/10.32628/IJSRST207467