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  Published Paper Details:

  Paper Title

Optimized Energy Conservation for Underwater Wireless Sensor Networks using Clustering-Based Data Aggregation and Transmission Protocol

  Authors

  Anurag Kumar,  Dr. Arvind Kumar,  Dr. Sanjat Kumar Mishra

  Keywords

Keywords: energy usage, multi-hop, clustering, and UWSN

  Abstract


Since manual battery maintenance and recharging is not possible with the new technology in underwater wireless sensor networks (UWSN), many researchers are studying this area. Because they are quickly recharged by an unconventional resource like solar energy, network duration should be considered. Clustering is a useful technique for building vibrant, efficient UWSNs when it comes to the data collection process. Due to the dynamic nature of the channel and the sparse deployment of nodes, UWSNs have different clustering behaviors than terrestrial wireless sensor networks (TWSNs). In order to facilitate efficient data transmission with an ideal clustering procedure, this study suggests the improved efficient data aggregation in a Hexagonal grid with energy optimization (IEDA-HGEO) protocol. It is further contrasted with EGRC (Energy-efficient Grid Routing based on 3D Cubes) and ERP2R, an energy-efficient routing system. The suitability of the three aforementioned techniques for underwater communication is specifically investigated, and a comparison of their performance is made with respect to energy consumption, efficiency, throughput, packet delivery ratio, and delay. The following metrics were attained by the suggested method: 41% delay, 48% energy usage, 95% efficiency, 95% throughput, and 92% PDR.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401660

  Paper ID - 250170

  Page Number(s) - f592-f605

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Anurag Kumar,  Dr. Arvind Kumar,  Dr. Sanjat Kumar Mishra,   "Optimized Energy Conservation for Underwater Wireless Sensor Networks using Clustering-Based Data Aggregation and Transmission Protocol", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.f592-f605, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401660.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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