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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: A STUDY ON IMPLEMENTATION OF WSN IN OPTIMISATION OF ENERGY CONSUMPTION FOR MANUFACTURING UNITS
Authors Name: sarika deshmukh , Hemant Kumar Vijayvergia
Unique Id: IJSDR2304113
Published In: Volume 8 Issue 4, April-2023
Abstract: A great deal of attention has been paid to Genetic Algorithm (GA). As a method, the algorithm is a multi-objective method that can be used in areas like self-organizing wireless sensor networks. The method looks at the used parameters and the fitness function by looking at or taking into account all of the operational modes in the possible states that can be made. Most GA implementations of clustering algorithms only focus on optimising a few parameters, such as coverage and energy use, which have a noticeable effect on the quality of the network. Keeping network coverage can be thought of as a mathematical programming problem with a lot of calculations to do. On the other hand, wireless sensor networks (WSNs) can be very dynamic. If this is the case, the network needs to be able to respond to events in the right way. If it doesn't, even the smallest decision made by management could have a big impact on the quality of the network. In this study, the Genetic Algorithm toolbox and custom codes are used along with MATLAB's hybrid method to solve this problem. The best solution was found using a mathematical algorithm that met all of the above criteria.
Keywords: Genetic Algorithm, Wireless Sensor Network, Coverage Maintenance, Energy Consumption, Network Optimization
Cite Article: "A STUDY ON IMPLEMENTATION OF WSN IN OPTIMISATION OF ENERGY CONSUMPTION FOR MANUFACTURING UNITS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.617 - 623, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304113.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2304113
Registration ID:205218
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 617 - 623
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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