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Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks

Wireless sensor networks (WSNs) enable communication among sensor nodes and require efficient energy management for optimal operation under various conditions. Key challenges include maximizing network lifetime, coverage area, and effective data aggregation and planning. A longer network lifetime co...

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Autores principales: Balaram, Allam, Babu, Rajendiran, Mahdal, Miroslav, Fathima, Dowlath, Panwar, Neeraj, Ramesh, Janjhyam Venkata Naga, Elangovan, Muniyandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490580/
https://www.ncbi.nlm.nih.gov/pubmed/37687941
http://dx.doi.org/10.3390/s23177485
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author Balaram, Allam
Babu, Rajendiran
Mahdal, Miroslav
Fathima, Dowlath
Panwar, Neeraj
Ramesh, Janjhyam Venkata Naga
Elangovan, Muniyandy
author_facet Balaram, Allam
Babu, Rajendiran
Mahdal, Miroslav
Fathima, Dowlath
Panwar, Neeraj
Ramesh, Janjhyam Venkata Naga
Elangovan, Muniyandy
author_sort Balaram, Allam
collection PubMed
description Wireless sensor networks (WSNs) enable communication among sensor nodes and require efficient energy management for optimal operation under various conditions. Key challenges include maximizing network lifetime, coverage area, and effective data aggregation and planning. A longer network lifetime contributes to improved data transfer durability, sensor conservation, and scalability. In this paper, an enhanced dual-selection krill herd (KH) optimization clustering scheme for resource-efficient WSNs with minimal overhead is introduced. The proposed approach increases overall energy utilization and reduces inter-node communication, addressing energy conservation challenges in node deployment and clustering for WSNs as optimization problems. A dynamic layering mechanism is employed to prevent repetitive selection of the same cluster head nodes, ensuring effective dual selection. Our algorithm is designed to identify the optimal solution through enhanced exploitation and exploration processes, leveraging a modified krill-based clustering method. Comparative analysis with benchmark approaches demonstrates that the proposed model enhances network lifetime by 23.21%, increases stable energy by 19.84%, and reduces network latency by 22.88%, offering a more efficient and reliable solution for WSN energy management.
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spelling pubmed-104905802023-09-09 Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks Balaram, Allam Babu, Rajendiran Mahdal, Miroslav Fathima, Dowlath Panwar, Neeraj Ramesh, Janjhyam Venkata Naga Elangovan, Muniyandy Sensors (Basel) Article Wireless sensor networks (WSNs) enable communication among sensor nodes and require efficient energy management for optimal operation under various conditions. Key challenges include maximizing network lifetime, coverage area, and effective data aggregation and planning. A longer network lifetime contributes to improved data transfer durability, sensor conservation, and scalability. In this paper, an enhanced dual-selection krill herd (KH) optimization clustering scheme for resource-efficient WSNs with minimal overhead is introduced. The proposed approach increases overall energy utilization and reduces inter-node communication, addressing energy conservation challenges in node deployment and clustering for WSNs as optimization problems. A dynamic layering mechanism is employed to prevent repetitive selection of the same cluster head nodes, ensuring effective dual selection. Our algorithm is designed to identify the optimal solution through enhanced exploitation and exploration processes, leveraging a modified krill-based clustering method. Comparative analysis with benchmark approaches demonstrates that the proposed model enhances network lifetime by 23.21%, increases stable energy by 19.84%, and reduces network latency by 22.88%, offering a more efficient and reliable solution for WSN energy management. MDPI 2023-08-28 /pmc/articles/PMC10490580/ /pubmed/37687941 http://dx.doi.org/10.3390/s23177485 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Balaram, Allam
Babu, Rajendiran
Mahdal, Miroslav
Fathima, Dowlath
Panwar, Neeraj
Ramesh, Janjhyam Venkata Naga
Elangovan, Muniyandy
Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title_full Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title_fullStr Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title_full_unstemmed Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title_short Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks
title_sort enhanced dual-selection krill herd strategy for optimizing network lifetime and stability in wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490580/
https://www.ncbi.nlm.nih.gov/pubmed/37687941
http://dx.doi.org/10.3390/s23177485
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