An Energy Efficient and Lifetime Ratio Improvement Methods Based on Energy Balancing
Niranjan L.1, Manoj Priyatham M.2
1Mr. Niranjan L, Research Scholar, Department of Electronics and Communication Engineering, A P S College of Engineering, Bengaluru (Karnataka), India.
2Dr. Manoj Priyatham M, Professor, Department of Electronics and Communication Engineering, A P S College of Engineering, Bengaluru (Karnataka), India.
Manuscript received on 15 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 52-61 | Volume-9 Issue-1S6 December 2019 | Retrieval Number: A10121291S619/19©BEIESP | DOI: 10.35940/ijeat.A1012.1291S619
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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: WSN consist of set of Sensing points which are responsible for collecting the detected information and then send the packets towards control centre which is responsible for processing of data. The applications of WSN include environmental data analysis, defence data collection and information. The survey of algorithms is done for the improvement of lifetime ratio. Four different algorithms namely Random, Random-CGT, EGT-Random and GTEB algorithms. The four algorithms are compared and then it is proved GTEB exhibits best behaviour with respect to energy consumed, number of non-holes, number of holes, Non-Hole to Hole ratio, residual energy, overhead and throughput.
Keywords: Wireless Sensor Sensing Points, Global Energy Balance, Energy Consumption.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques