Energy Optimization for Underwater Sensor Network using Nature Inspired Technique
Sukhman Kaur
Sukhman kaur, Department of Computer Science, Punjabi University, Patiala (Punjab), India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript Published on 26 August 2019 | PP: 161-164 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10260789S19/19©BEIESP DOI: 10.35940/ijitee.I1026.0789S19
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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: There is lots of energy optimization technique is used in underwater sensor network but in this paper, nature-inspired technique, called Elephant Herding Optimization (EHO), and is proposed for solving optimization tasks. The EHO method is inspired by the herding behavior of the elephant group. In nature, the elephants having a place with various factions live respectively under the initiative of female authority, and the male elephants will leave their family bunch when they grow up. These two practices can be displayed into two after administrators: group refreshing administrator and isolating administrator. In EHO, the elephants in every faction are refreshed by its present position and female authority through group refreshing administrator. It is found from the outcomes that the EHO based vitality streamlining approach shows the outcomes compelling than established methodology as far as numerous parameters. In this work, the advancement dimension of the vitality to over 11% is accomplished utilizing Elephant Herd Optimization that is likewise utilized in numerous other areas for designing enhancement.
Keywords: Energy Optimization Underwater Sensor Networks, Elephants, Nature Inspired Techniques.
Scope of the Article: Adhoc and Sensor Networks