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An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network
Author(s) -
Mr.MAHARAJAN M S,
T. Abirami
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2484.0981119
Subject(s) - computer science , wireless sensor network , scalability , cluster analysis , bat algorithm , genetic algorithm , distributed computing , base station , routing protocol , efficient energy use , path (computing) , distance vector routing protocol , computer network , algorithm , routing (electronic design automation) , link state routing protocol , machine learning , particle swarm optimization , engineering , database , electrical engineering
Today, the Wireless Sensor Network (WSN) is emerging to be a very promising technology to be employed in the future. There were different protocols in energy-efficient routing that were designed and further developed for the WSNs for the purpose of supporting data delivery given to their respective destinations. The different techniques of clustering are perused widely by different researchers for increasing their objectives of scalability and also their lifetime. There have been many protocols used for the creation of a hierarchical structure to reduce the cost of the path at the time of making any communication to the base station. This work increases an energy lifetime and the stability of the network in an efficient manner within the protocols of clustering for which several protocols were suggested. Discussion is made on the Bat Algorithm (BA), the Bat algorithm along with mutation and the Genetic Algorithm (GA). This BAT algorithm had search abilities with various applications to solve problems in engineering. There was viability for the mutated BAT algorithms observed in various tasks that were proven and were shown by the empirical outcomes thus making the proposed scheme to perform better in comparison with all schemes

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