Energy Efficient Scheduling Scheme for Wireless Sensor Network
Kothakapu Chandra Reddy1, G. Yugandhar2

1Kothakapu Chandra Reddy, Research Scholar, Dept of Computer Science & Engineering, GITAM University, Hyderabad, India.
2G. Yugandhar, Asst. Professor, Dept of Computer Science & Engineering, GITAM University, Hyderabad, India.
Manuscript received on January 18, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2259-2266 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1772029420/2020©BEIESP | DOI: 10.35940/ijitee.D1772.029420
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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: Energy conservation in wireless sensor network (WSN) is a critical need for efficient application in real time interface. Due to a continuous active mode operation, the nodes terminals have a large energy dissipation, which leads to faster energy dissipation. The need of energy conservation in wireless sensor terminals is very critical due to its remote battery energy source. In order to conserve energy, Terminals in WSN are scheduled to operate in different operative modes resulting in active and no-active modes called sleep operation. The scheduling resulted in higher energy conservation, however the static period scheduling of phase switching in WSN operation leads to additional switching energy loss. In this paper, a new scheduling Method for energy conservation using a active learning Exchange called ‘Tick’ wake attribute is used for adaptive control of operational switching in WSN. The proposed Method is a monitoring Method for energy conservation in WSN by operating in cluster mode operation. The operational condition in a simulation of distributed WSN nodes illustrated a higher energy conservation, and resulting in improvement of node life time and network metric in WSN interface. 
Keywords: Wireless Sensor Network, Adaptive Operative Scheduling, Tick wake Exchanging, Energy Conservation
Scope of the Article:  Wireless Access Technologies for IoT