Open AccessEnergy-Efficient Clustering With Multiple Sink (Eecms) In Wireless Body Area Network
Author(s) -
Juhi Agrawal,
Shelly,
Monit Kapoor
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.l3403.1081219
Subject(s) - computer network , computer science , body area network , wireless sensor network , routing protocol , network packet , energy consumption , cluster analysis , efficient energy use , engineering , electrical engineering , machine learning
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.