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Tsinghua Science and Technology 2024, 29(4): 985-1001 https://doi.org/10.26599/TST.2023.9010056
Open Access | Issue | Published: 09 February 2024

Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

Show Author's Information N. Meenakshi1,  Sultan Ahmad2( ),  A. V. Prabu3,  J. Nageswara Rao4,  Nashwan Adnan Othman5,  Hikmat A. M. Abdeljaber6,  R. Sekar7,  Jabeen Nazeer8
SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia, and also with University Center for Research and Development (UCRD), Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali 140413, India
Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur 522502, India
Department of Computer Science and Engineering, Lakireddy Balireddy College of Engineering (A), NTR District 521230, India
Department of Computer Engineering, College of Engineering, Knowledge University, Erbil 44001, Iraq
Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman 11937, Jordan
Department of Electronics and Communication Engineering (ECE), School of Engineering, Presidency University, Bangalore 834001, India
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
Keywords:
wireless sensor networks, energy efficient engroove leach protocol, meta inspired Hawks fragment optimization, heuristic wing antfly optimization
Cite this article:
Meenakshi N, Ahmad S, Prabu AV, et al. Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol. Tsinghua Science and Technology, 2024, 29(4): 985-1001. https://doi.org/10.26599/TST.2023.9010056
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Abstract Full text About this article

The Wireless Sensor Network (WSN) is a network that is constructed in regions that are inaccessible to human beings. The widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military environments. They make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the area. The data have to be picked up by the sensor, and then sent to the sink node where they may be processed. The nodes of the WSNs are powered by batteries, therefore they eventually run out of power. This energy restriction has an effect on the network life span and environmental sustainability. The objective of this study is to further improve the Engroove Leach (EL) protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of energy. The lifespan of WSNs is being extended often using clustering and routing strategies. The Meta Inspired Hawks Fragment Optimization (MIHFO) system, which is based on passive clustering, is used in this study to do clustering. The cluster head is chosen based on the nodes’ residual energy, distance to neighbors, distance to base station, node degree, and node centrality. Based on distance, residual energy, and node degree, an algorithm known as Heuristic Wing Antfly Optimization (HWAFO) selects the optimum path between the cluster head and Base Station (BS). They examine the number of nodes that are active, their energy consumption, and the number of data packets that the BS receives. The overall experimentation is carried out under the MATLAB environment. From the analysis, it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput, packet delivery and drop ratio, and average energy consumption.


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About this article

Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

Show Author's information N. Meenakshi1, Sultan Ahmad2( ), A. V. Prabu3, J. Nageswara Rao4, Nashwan Adnan Othman5, Hikmat A. M. Abdeljaber6, R. Sekar7, Jabeen Nazeer8
SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia, and also with University Center for Research and Development (UCRD), Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali 140413, India
Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur 522502, India
Department of Computer Science and Engineering, Lakireddy Balireddy College of Engineering (A), NTR District 521230, India
Department of Computer Engineering, College of Engineering, Knowledge University, Erbil 44001, Iraq
Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman 11937, Jordan
Department of Electronics and Communication Engineering (ECE), School of Engineering, Presidency University, Bangalore 834001, India
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia

Abstract

The Wireless Sensor Network (WSN) is a network that is constructed in regions that are inaccessible to human beings. The widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military environments. They make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the area. The data have to be picked up by the sensor, and then sent to the sink node where they may be processed. The nodes of the WSNs are powered by batteries, therefore they eventually run out of power. This energy restriction has an effect on the network life span and environmental sustainability. The objective of this study is to further improve the Engroove Leach (EL) protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of energy. The lifespan of WSNs is being extended often using clustering and routing strategies. The Meta Inspired Hawks Fragment Optimization (MIHFO) system, which is based on passive clustering, is used in this study to do clustering. The cluster head is chosen based on the nodes’ residual energy, distance to neighbors, distance to base station, node degree, and node centrality. Based on distance, residual energy, and node degree, an algorithm known as Heuristic Wing Antfly Optimization (HWAFO) selects the optimum path between the cluster head and Base Station (BS). They examine the number of nodes that are active, their energy consumption, and the number of data packets that the BS receives. The overall experimentation is carried out under the MATLAB environment. From the analysis, it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput, packet delivery and drop ratio, and average energy consumption.

Keywords: wireless sensor networks, energy efficient engroove leach protocol, meta inspired Hawks fragment optimization, heuristic wing antfly optimization

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Publication history
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Publication history

Received: 22 April 2023
Revised: 28 May 2023
Accepted: 06 June 2023
Published: 09 February 2024
Issue date: August 2024

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© The Author(s) 2024.

Acknowledgements

Acknowledgment

This work was supported via funding from Prince Sattam Bin Abdulaziz University (No. PSAU/2023/R/1444).

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The articles published in this open access journal are distributed under the terms of theCreative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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