An Energy-Efficient Routing Framework Using Fuzzy Type 2 Hybrid Archimedes in Wireless Sensor Network

In wireless sensor network, the sensor nodes are randomly distributed throughout the network with limited energy capacity. The continued process of data sensing, transmitting and processing depletes the energy capacity of nodes rapidly. To overcome these issues, energy-efficient sensor nodes are to...

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Bibliographic Details
Published in:International journal of fuzzy systems 2023-03, Vol.25 (2), p.497-509
Main Authors: Parameswari, M., Nancy, P., Sathya Priya, J.
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Computational Intelligence
Control stability
Data integrity
Data transmission
Efficiency
Energy consumption
Engineering
Fuzzy logic
Management Science
Nodes
Operations Research
Optimization algorithms
Performance measurement
Protocol
Residual energy
Sensors
Simulation
Wireless sensor networks
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Summary:In wireless sensor network, the sensor nodes are randomly distributed throughout the network with limited energy capacity. The continued process of data sensing, transmitting and processing depletes the energy capacity of nodes rapidly. To overcome these issues, energy-efficient sensor nodes are to be established in the network to prolong the network lifetime. Therefore, to decrease the energy consumption and to increase the network lifetime, a novel fuzzy type 2 hybrid Archimedes (FT2HA) approach for energy-efficient WSN is established in this paper. In this, the Hybrid Archimedes Optimization Algorithm (HAOA) is utilized to maximize the convergence speed and to enhance the searching process thereby obtaining an optimal solution. Along with this, the Type 2 fuzzy logic system is employed for efficient cluster head selection. To evaluate the performances of the proposed FT2HA method, different performance metrics like network lifetime, energy consumption, residual energy, end-to-end delay, overhead control, throughput, stability period, and packet delivery ratio are utilized. In addition, the comparative analysis is carried out between the proposed FT2HA method and other existing methods such as TF-SCR, MECMOA, CTEEDG and FBECS protocols to find the effectiveness. The experimental analysis illustrates that the proposed FT2HA approach has shown a significant enhancement to various techniques.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-022-01397-7