A Novel Energy Efficient Threshold Based Algorithm for Wireless Body Sensor Network
Suresh Kumar Arumugam,
Amin Salih Mohammed,
Kalpana Nagarajan,
Kanagachidambaresan Ramasubramanian,
S. B. Goyal,
Chaman Verma,
Traian Candin Mihaltan,
Calin Ovidiu Safirescu
Affiliations
Suresh Kumar Arumugam
Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun 248002, Uttarakhand, India
Amin Salih Mohammed
Department of Computer Engineering, Lebanese French University, Erbil 44002, Kurdistan Region, Iraq
Kalpana Nagarajan
Department of CSE, PSNA College of Engineering and Technology, Dindigul 624622, Tamilnadu, India
Kanagachidambaresan Ramasubramanian
Department of CSE, Veltech Dr. Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, Tamil Nadu, India
S. B. Goyal
Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia
Chaman Verma
Department of Media and Educational Informatics, Faculty of Informatics, Eotvos Lorand University, 1053 Budapest, Hungary
Traian Candin Mihaltan
Faculty of Building Services, Technical University of Cluj-Napoca, 40033 Cluj-Napoca, Romania
Calin Ovidiu Safirescu
Environment Protection Department, Faculty of Agriculture, University of Agriculture Sciences and Veterrnary Medicine Cluj-Napoca, Calea Manastur No. 3–5, 40033 Cluj-Napoca, Romania
Wireless body sensor networks (WBSNs) monitor the changes within the human body by having continuous interactions within the nodes in the body network. Critical issues with these continuous interactions include the limited energy within the node and the nodes becoming isolated from the network easily when it fails. Moreover, when the node’s burden increases because of the failure of other nodes, the energy utilization as well as the heat dissipated increases much more, causing damage to the network as well as human body. In this paper, we propose a threshold-based fail proof lifetime enhancement algorithm which schedules the nodes in an optimal way depending upon the available energy level. The proposed algorithm is experimented with a real time system setup and the proposed algorithm is compared with different routing mechanisms in terms of various network parameters. It is inferred that the proposed algorithm outperforms the existing routing mechanisms.
