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Optimization and Analysis of Wireless Networks Lifetime using Soft Computing for Industrial Applications

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Title Optimization and Analysis of Wireless Networks Lifetime using Soft Computing for Industrial Applications
 
Creator Muruganandam, N
Venkatesan, R
Marappan, Raja
Venkataraman, V
 
Subject Clustering
Energy consumption
Evolutionary modeling
Network optimization
Throughput
 
Description 135-141
Recently, wireless networks are applied in various engineering and industrial applications. One of the critical problems in
wireless network system optimization in intelligent applications is obtaining an adequate energy fairness level. This issue
can be resolved by applying effective cluster-based routing optimization with multi-hop routing. Hence a new network
structure is developed that is derived from energy consumption architecture by applying soft computing strategies such as
evolutionary operators in determining the exact clusters for optimizing energy consumption. The new effective evolutionary
operators are tested in the optimization of a lifetime. The proposed method is simulated for different values of the routing
factor, α, for different types of networks. The energy levels range from 0.4 to 0.8, achieving good results for nearly 2500
rounds. The proposed strategy optimizes the clusters, and its head is selected reliably. The optimization of cluster head
choice has been done based on the base station distance, the energy of the node, and the node's energy efficiency. The
reliability of the long-distance nodes is increased during the data transmission by modifying the size of the area of the
candidate set of nodes in contrast the near-distance node's energy consumption is reduced. For the energy levels that range
from 0.4 to 0.8, the higher network throughput is obtained at the same time network lifetime is optimized compared to other
well-known approaches. The proposed model is expected for different industrial wireless network applications to optimize
the systems during the long-run simulation and to achieve high reliability and sustainability.
 
Date 2023-01-16T09:51:52Z
2023-01-16T09:51:52Z
2023-01
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61196
https://doi.org/
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.82(01) [January 2023]