Energy Aware Nature Inspired Algorithm for better energy utilization for Wireless Sensor Network
Pooja Sahni1, Sukhdeep Kaur2, Jaswinder Singh3, Ripple Sahni4
1Pooja Sahni, Professor in Chandigarh, Chandigarh Engineering College, Landran, Mohali (Punjab), India.
2Sukhdeep Kaur, Professor in Chandigarh, Chandigarh Engineering College, Landran, Mohali (Punjab), India.
3Jaswinder Singh, M. Tech., Department of Electronics and Communication Engineering, Punjab Technical University, Jalandhar, India.
4Ripple Sahni, Assistant Professor, Chandigarh Group Of College, Mohali (Punjab), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 26 August 2019 | PP: 435-438 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10690789S19/19©BEIESP | DOI: 10.35940/ijitee.I1069.0789S19
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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 sensor nodes are dead very early because of less battery power availability. If any single node dead in the network then the workload shifted on the other nodes. By this scenario battery consumption increase of other nodes from the regular routine, and the whole sensor network down very soon. Every single node in a sensor network interconnected with each other without the help of the radio waves technology. Each sensor nodes associated with a battery that provides sufficient power to complete the whole tasks, like to sense data, receive data, transmit data etc. Tasks are huge but the battery lifetime is limited, this is a major problem in the sensor network. This paper represented a newly develop Algorithm to better utilization of nodes battery power and make the sensor network more stable by increasing the lifetime of the sensor nodes. EANIA results proved that this approach is more energy aware and more secure.
Keywords: Cluster Head, Energy Efficient, Network Lifetime, Sensor Network.
Scope of the Article: Energy Efficient Building Technology