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  Published Paper Details:

  Paper Title

Optimizing Energy Efficiency in WSNs through Intelligent Data Aggregation Routing

  Authors

  Dr Neeli.Penchalaiah

  Keywords

Keywords: Wireless Sensor Networks, Energy Efficiency, Data Aggregation, Intelligent Routing, Network Longevity.

  Abstract


Abstract: Wireless Sensor Networks (WSNs) play a pivotal role in a multitude of applications, yet their practicality is hindered by the limited energy resources of sensor nodes. This paper addresses the critical challenge of optimizing energy efficiency in WSNs by proposing an intelligent data aggregation routing strategy. Our approach leverages advanced algorithms and techniques to minimize energy consumption and maximize network longevity. We introduce a novel energy-aware routing protocol complemented by efficient data aggregation methods to reduce redundant data transmission. The performance of our proposed solution is rigorously evaluated against existing benchmarks through a series of simulations. Results demonstrate a significant enhancement in energy efficiency and network lifespan without compromising data integrity. This study not only contributes to the theoretical understanding of energy optimization in WSNs but also provides practical insights for future implementations.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2311079

  Paper ID - 245940

  Page Number(s) - a633-a640

  Pubished in - Volume 11 | Issue 11 | November 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.36713

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

  E-ISSN Number - 2320-2882

  Cite this article

  Dr Neeli.Penchalaiah,   "Optimizing Energy Efficiency in WSNs through Intelligent Data Aggregation Routing", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.a633-a640, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311079.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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