ECHA: A Novel Energy Efficient Cluster Head Election Algorithm to Provide Energy-Aware Routing in WSN
V. Nivedhitha1, A. Gopi Saminathan2, P. Thirumurugan3
1V. Nivedhitha, Assistant Professor, Department of Computer Science and Engineering, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, India.
2A. Gopi Saminathan, Professor, Department of Eloctronics and Communication Engineering, NPR College of Engineering and Technology, Natham, Dindigul, Tamil Nadu, India.
3P. Thirumurugan, Associate Professor, Department of Eloctronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5906-5909 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8843118419/2019©BEIESP | DOI: 10.35940/ijrte.D8843.118419

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Abstract: Wireless Sensor Network (WSN) is composed of several low powered, tiny and cheap sensors deployed over a geographical area to monitor the environment. WSN can be set out in various real time applications like security and surveillance, healthcare monitoring, smart grids, smart buildings, environmental monitoring and industrial applications etc. A WSN includes numerous spatially dispersed sensor nodes or motes that sense the environment, transfer them to a computing device through hoping and processes them to result in useful information. Since motes are low-powered and operate on limited energy resource, prolong usage of same nodes to transfer data may lead to network failure. Clustering provides an efficient technique to increase the longevity of network by efficiently using the residual energy in the motes. We propose a reasonable energy aware routing protocol that implements energy efficient cluster formation through Energy efficient Custer Head Election (ECHA) algorithm that increases the network performance to a greater extent.
Keywords: Clustering, Cluster-head Election, Energy-aware Routing, Energy Efficiency.
Scope of the Article: Clustering.