Reducing end to end Delay Through Adaptive Greedy Search Algorithm For Wireless Body Area Sensor Network
E. Ramya1, R. Gobinath2
1E. Ramya, Research Scholar, Department of Computer Science, VISTAS. Chennai (Tamil Nadu), India.
2R. Gobinath, Associate Professor, Department of Computer Science, VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 08 July 2019 | Revised Manuscript received on 18 August 2019 | Manuscript Published on 27 August 2019 | PP: 997-1001 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B11960782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1196.0782S419
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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 Body area network is the most important research topic. It is under developing technology in the field of human health care. Body Area Sensor Network plays an important role to improve human health. In the proposed work implementation of wireless body area network connected through hibernating greedy algorithm is developed. The ultimate aim of the system is to reduce the end to end delay of the data transmission. Mobile network is used here and MATLAB based reconfigurable AI-Greedy Search algorithm is developed here. The proposed work enable the fast data transmission as well as Adaptive (adjustable network path) depends on the connective needs of the system.
Keywords: Wireless Body Area Network, AI-Greedy Search Algorithm, MATLAB, end-to-end Delay.
Scope of the Article: Wireless ad hoc & Sensor Networks