Energy-Efficient Clustering With Multiple Sink (Eecms) In Wireless Body Area Network
Juhi Agrawal1, Shelly2, Monit Kapoor3
1Juhi Agrawal, University of Petroleum and Energy Studies, Dehradun.
2Shelly, University of Petroleum and Energy Studies, Dehradun.
3Monit Kapoor, University of Petroleum and Energy Studies, Dehradun.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2363-2370 | Volume-8 Issue-12, October 2019. | Retrieval Number: L34031081219/2019©BEIESP | DOI: 10.35940/ijitee.L3403.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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 Body Area Networks is consists of compact bio sensors that implanted in various body areas of human being. WBAN is a new revolution in the field of health sciences. It monitors the health related data like blood pressure (BP), heartbeat, glucose level, electro-cardiogram etc. It passes these data to the health monitoring systems. WBAN is playing main role in the field of sports, entertainment, medical, psychological and social welfare. Till now there are different routing protocols have been outlined to increase its performance, energy efficiency, throughput, packet delivery ratio (PDR), delay and network lifetime. This paper proposes a routing protocol named energyefficient clustering with multiple sink (EECMS) in wireless body area network. Which calculates the fitness function using multiple parameters such as Residual Node Energy, Distance of nodes and Transmission Range for Cluster Head selection. After some interval it keep changing the head to maintain the flow of network.
Keywords: Clustering, Delay, Packet Delivery ratio (PDR), WBANs.
Scope of the Article: Clustering