An Energy-Efficient New Approach for Cluster Head Selection Algorithm in Wireless Sensor Network
P. Thiruvannamalai Sivasankar1, B. Maheswara Rao2
1P. Thiruvannamalai sivasankar, Professor, Department of CSE, Amrita Sai Institute of Science and Technology, Paritala, Krishna District, (Andhra Pradesh), India.
2B. Maheswara Rao Associate Professor, Department of ECE, Amrita Sai Institute of Science and Technology, Paritala, Krishna District, (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1556-1560 | Volume-7 Issue-6, March 2019 | RRetrieval Number: F2198037619/19©BEIESP
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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: Wireless Sensor Networks (WSNs) forced in its exclusive typesets such seeing that it can be accomplished to endure the callous natural situation, improved scalability, etc. Wireless Sensor Network (WSNs) consists of sensors and a Sink. The sensor nodes received energy resources from the battery only. So, network lifetime is most important while overworking for information transmission. Clustering is one of the great efficient of energy method. The principal node in a Cluster group (Cluster-Head) is a significant role and duty to the transformation of information in between Cluster-members and the Sinks. For this proposed method, the nodes are participating individually at the time of Cluster-head (CH) election process. In this proposed method, the sensor node among its distance as well as energy score analysis of the sensor node to motivate the sensor nodes to involved honestly on the process of election its Cluster groups. The energy score analysis and distance are calculated on every round of the process and is updated. In this proposed method, each and every sensor node can participate directly without individuality and also the proposed scheme to calculate for the distance in between nodes in a cluster group and Sinks(BS) at time of election processes, So, it requires performing tasks like data control, data-aggregation exposure to the Sinks. The proposed method is gauged by using Quality of Service metrics through simulation results.
Keywords: WSN, Cluster, Sinks, energy
Scope of the Article: WSN.