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Optimal Firefly based Balanced Energy Efficient Multi-hop (BEEM) Algorithm in Wireless Sensor Network
Author(s) -
Gaurav Kumar,
Harjit Singh
Publication year - 2020
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrst207467
Subject(s) - firefly algorithm , wireless sensor network , computer science , cluster analysis , energy consumption , computer network , routing protocol , hop (telecommunications) , throughput , real time computing , algorithm , distributed computing , routing (electronic design automation) , wireless , engineering , telecommunications , machine learning , particle swarm optimization , electrical engineering
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.

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