An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network
Mr. Maharajan M S1, T. Abirami2
1Mr. MAHARAJAN M S, Assistant professor, Computer Science & Engineering, GRT Institute of Engineering and Technology, Tiruttani,
2Dr. T. Abirami, Associate Professor, Information Technology, Kongu Engineering College,
Manuscript received on 27 August 2019. | Revised Manuscript received on 07 September 2019. | Manuscript published on 30 September 2019. | PP: 3544-3550 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24840981119/2019©BEIESP | DOI: 10.35940/ijitee.K2484.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Bat algorithm (BAT), Clustering, Cluster Head (CH), Energy efficient clustering scheme (EECS), Genetic Algorithm (GA), Hybrid energy efficient distributed clustering (HEED), Low Energy Adaptive Clustering Hierarchy (LEACH), Wireless Sensor Network (WSN).
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks