Energy Conservation In Wsn Using Hyper Sphere Sensor Optimisation
M. Alexander1, R. Shanthi2
1M. Alexander, Research Scholar, Department of Computer Science, Bharathiar University, (Tamil Nadu), India.
2Dr. R. Shanthi, Research Guide, Bharathiar University, (Tamil Nadu), India.
Manuscript received on February 05, 2019. | Revised Manuscript received on February 14, 2019. | Manuscript published on August 30, 2019. | PP: 3672-3676 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9372088619/19©BEIESP | DOI: 10.35940/ijeat.F9372.088619
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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: Due to minimum energy consumption and compact size, the Wireless Sensor Network (WSN) is widely used in almost all areas of research. In WSN, optimum coverage and lifetime of nodes are major challenges. In this paper, a Hyper Sphere Sensor Optimization is proposed to estimate the neighbourhood distance for placing the sensor nods in an optimal way over an effective location. Levy fight in flower pollination utilized for optimal energy location with hyper sphere localization. In first phase based on hyper sphere is used to location identification of sensor nodes. Based on neighbour hood distance energy consumption of sensor network nodes are reduced. The results show that the proposed method is effective than other methods in terms of reducing the reduced energy consumption.
Keywords: Wireless Sensor Network, Neighbourhood Distance, Levy Flight, Flower Pollination, Ant Colony.