Hybrid gannet optimization algorithm-based energy efficient cluster routing mechanism for extending network longevity in sensor networks
In the context of smart computing, development of Wireless Sensor Networks (WSNs) is highly notable for its indispensable role in monitoring and facilitating reactive decision making in different areas of applications. These WSNs comprise of small and self-configured Sensor Nodes (SNs) with battery...
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| Vydáno v: | Engineering Research Express Ročník 7; číslo 3; s. 35383 - 35402 |
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30.09.2025
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| ISSN: | 2631-8695, 2631-8695 |
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| Abstract | In the context of smart computing, development of Wireless Sensor Networks (WSNs) is highly notable for its indispensable role in monitoring and facilitating reactive decision making in different areas of applications. These WSNs comprise of small and self-configured Sensor Nodes (SNs) with battery power, which introduces energy and resource-constrained communication during their deployment. Increased energy consumptions of these deployed SNs adversely affect network lifetime and energy stability. Thus, design and implementation of energy efficient routing protocol for WSNs that helps in attaining both energy stability and network lifetime of SNs is a herculean task. The implementation of clustering techniques helps in determining optimal solutions that helps in addressing the challenges associated with reduced energy consumptions of SNs. Most of the existing clustering solutions of WSNs parameters including scalability, energy balancing and node density during the process of choosing higher energy SNs as Cluster Heads (CHs) in the network. In this paper, a Hybrid Gannet Optimization Algorithm-based Energy Efficient Cluster Routing (HGOAECR) mechanism is proposed for selecting optimal number of clusters that attribute towards better energy stability and prolonged network lifetime. It used Gannet Optimization Algorithm (GOA) and Enhanced Whale Optimization Algorithm (EWOA) for attaining the optimal selection of CHs through the evaluation of factors that includes node centrality, node degree, distance to the Base Station (BS), distance to neighbour and Residual Energy (RE) of SNs. It specifically used Genetic Algorithm (GA) for determining the path amid chosen CHs and sink by selecting potential route with respect to node degree, RE and distance. The performance evaluation of this proposed HGOAECR confirmed improved network lifespan of 23.48%, minimized energy consumption of 25.84% and maximized Packet Delivery Ratio (PDR) to the sink nodes by 25.68% when compared to benchmarked schemes taken for comparison. |
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| AbstractList | In the context of smart computing, development of Wireless Sensor Networks (WSNs) is highly notable for its indispensable role in monitoring and facilitating reactive decision making in different areas of applications. These WSNs comprise of small and self-configured Sensor Nodes (SNs) with battery power, which introduces energy and resource-constrained communication during their deployment. Increased energy consumptions of these deployed SNs adversely affect network lifetime and energy stability. Thus, design and implementation of energy efficient routing protocol for WSNs that helps in attaining both energy stability and network lifetime of SNs is a herculean task. The implementation of clustering techniques helps in determining optimal solutions that helps in addressing the challenges associated with reduced energy consumptions of SNs. Most of the existing clustering solutions of WSNs parameters including scalability, energy balancing and node density during the process of choosing higher energy SNs as Cluster Heads (CHs) in the network. In this paper, a Hybrid Gannet Optimization Algorithm-based Energy Efficient Cluster Routing (HGOAECR) mechanism is proposed for selecting optimal number of clusters that attribute towards better energy stability and prolonged network lifetime. It used Gannet Optimization Algorithm (GOA) and Enhanced Whale Optimization Algorithm (EWOA) for attaining the optimal selection of CHs through the evaluation of factors that includes node centrality, node degree, distance to the Base Station (BS), distance to neighbour and Residual Energy (RE) of SNs. It specifically used Genetic Algorithm (GA) for determining the path amid chosen CHs and sink by selecting potential route with respect to node degree, RE and distance. The performance evaluation of this proposed HGOAECR confirmed improved network lifespan of 23.48%, minimized energy consumption of 25.84% and maximized Packet Delivery Ratio (PDR) to the sink nodes by 25.68% when compared to benchmarked schemes taken for comparison. |
| Author | R, Gunasundari S, Kalpana |
| Author_xml | – sequence: 1 givenname: Kalpana orcidid: 0000-0003-0550-9773 surname: S fullname: S, Kalpana organization: Puducherry Technological University Department of Electronics and Communication Engineering, Puducherry, India – sequence: 2 givenname: Gunasundari surname: R fullname: R, Gunasundari organization: Puducherry Technological University Department of Electronics and Communication Engineering, Puducherry, India |
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| References | Ahmad (erxae0558bib16) 2019; 3 Sheeja (erxae0558bib24) 2023; 144 Balamurugan (erxae0558bib4) 2022; 19 Anil Kumar (erxae0558bib29) 2024; 33 Singh (erxae0558bib35) 2024; 12 Janakiraman (erxae0558bib5) 2023; 36 Abose (erxae0558bib31) 2024 Gavali (erxae0558bib10) 2022; 93 Alsolai (erxae0558bib3) 2023; 23 Shafique (erxae0558bib28) 2024; 12 Alshammri (erxae0558bib36) 2025; 58 Bharany (erxae0558bib22) 2023; 10 Dinesh (erxae0558bib27) 2024; 23 Hosseinzadeh (erxae0558bib25) 2023; 13 Ramalingam (erxae0558bib26) 2024; 30 Sharma (erxae0558bib17) 2020; 74 Sengathir (erxae0558bib2) 2022; 34 Kumar (erxae0558bib23) 2010; 10 Elhoseny (erxae0558bib1) 2020; 16 Janakiraman (erxae0558bib8) 2024; 83 Priyadarshi (erxae0558bib11) 2024; 31 Panchal (erxae0558bib34) 2021; 78 Al-Mousawi (erxae0558bib9) 2020; 26 Roberts (erxae0558bib13) 2024; 101 Panchal (erxae0558bib33) 2021; 123 Chakraborty (erxae0558bib21) 2021; 153 Kumar (erxae0558bib14) 2024; 24 Jayalakshmi (erxae0558bib6) 2021; 121 Nagarajan (erxae0558bib19) 2021; 15 Lee (erxae0558bib32) 2024; 20 Barzin (erxae0558bib7) 2020; 29 Luo (erxae0558bib20) 2023; 241 Elavarasan (erxae0558bib30) 2024; 24 Kumar (erxae0558bib15) 2024; 21 Malisetti (erxae0558bib18) 2020; 171 Tang (erxae0558bib12) 2023; 30 Janakiraman (erxae0558bib37) 2025; 50 Subramanian (erxae0558bib38) 2025; 38 |
| References_xml | – volume: 121 start-page: 3263 year: 2021 ident: erxae0558bib6 article-title: A hybrid artificial bee colony and harmony search algorithm-based metahueristic approach for efficient routing in WSNs publication-title: Wirel. Pers. Commun. doi: 10.1007/s11277-021-08875-5 – volume: 30 start-page: 1 year: 2023 ident: erxae0558bib12 article-title: Clustering routing algorithm of wireless sensor network based on swarm intelligence publication-title: Wirel. Netw. doi: 10.1007/s11276-023-03584-2 – volume: 33 start-page: 2450043 year: 2024 ident: erxae0558bib29 article-title: Ant colony optimization with levy-based unequal clustering and routing (ACO-UCR) technique for wireless sensor networks publication-title: J. Circuits Syst. Comput. doi: 10.1142/S0218126624500439 – volume: 10 start-page: 1117787 year: 2023 ident: erxae0558bib22 article-title: Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization publication-title: Frontiers in Marine Science doi: 10.3389/fmars.2023.1117787 – volume: 29 start-page: 2050163 year: 2020 ident: erxae0558bib7 article-title: A hybrid swarm intelligence algorithm for clustering-based routing in wireless sensor networks publication-title: J. Circuits Syst. Comput. doi: 10.1142/S0218126620501637 – volume: 74 start-page: 253 year: 2020 ident: erxae0558bib17 article-title: eeTMFO/GA: a secure and energy efficient CH selection in wireless sensor networks publication-title: Telecommunication Systems doi: 10.1007/s11235-020-00654-0 – volume: 153 start-page: 107086 year: 2021 ident: erxae0558bib21 article-title: A novel enhanced whale optimization algorithm for global optimization publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.107086 – volume: 12 start-page: 331 year: 2024 ident: erxae0558bib35 article-title: Modified RCH-LEACH (MRCH) for wireless sensor networks (WSN) doi: 10.1007/978-981-97-3559-4_26 – volume: 144 start-page: 103140 year: 2023 ident: erxae0558bib24 article-title: Multi-objective-derived energy efficient routing in wireless sensor network using adaptive black hole-tuna swarm optimization strategy publication-title: Ad Hoc Networks doi: 10.1016/j.adhoc.2023.103140 – volume: 23 start-page: 2636 year: 2023 ident: erxae0558bib3 article-title: Leveraging metaheuristic unequal clustering for hotspot elimination in energy-aware wireless sensor networks publication-title: Sensors doi: 10.3390/s23052636 – volume: 10 start-page: 8 year: 2010 ident: erxae0558bib23 article-title: Exploring genetic algorithm for shortest path optimization in data networks publication-title: Global Journal of Computer Science and Technology – volume: 171 start-page: 1953 year: 2020 ident: erxae0558bib18 article-title: Performance of quasi oppositional butterfly optimization algorithm for CH selection in WSNs publication-title: Procedia Computer Science doi: 10.1016/j.procs.2020.04.209 – volume: 101 start-page: 306 year: 2024 ident: erxae0558bib13 article-title: An improved dual-phased meta-heuristic optimization-based framework for energy efficient cluster-based routing in wireless sensor networks publication-title: Alexandria Engineering Journal doi: 10.1016/j.aej.2024.05.078 – volume: 78 start-page: 1 year: 2021 ident: erxae0558bib34 article-title: EOCGS: energy efficient optimum number of CH and grid head selection in wireless sensor networks publication-title: Telecommunication Systems doi: 10.1007/s11235-021-00782-1 – volume: 83 start-page: 1 year: 2024 ident: erxae0558bib8 article-title: Energy efficient clustering protocol using hybrid bald eagle search optimization algorithm for improving network longevity in WSNs publication-title: Multimedia Tools Appl. doi: 10.1007/s11042-024-18155-6 – volume: 24 start-page: 16926 year: 2024 ident: erxae0558bib14 article-title: Strategic node deployment scheme for maximizing coverage area and network lifetime in UASNs using voronoi-fuzzy C-means and salp swarm optimization publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2024.3381957 – volume: 34 start-page: 387 year: 2022 ident: erxae0558bib2 article-title: A novel CH selection using hybrid artificial bee colony and firefly algorithm for network lifetime and stability in WSNs publication-title: Connect. Sci. doi: 10.1080/09540091.2021.2004997 – volume: 38 year: 2025 ident: erxae0558bib38 article-title: An efficient CH selection in WSNs using transient search optimization (TSO) algorithm publication-title: Int. J. Commun. Syst. doi: 10.1002/dac.5970 – volume: 19 start-page: 219 year: 2022 ident: erxae0558bib4 article-title: Hybrid marine predators optimization and improved particle swarm optimization-based optimal cluster routing in wireless sensor networks (WSNs) publication-title: China Communications doi: 10.23919/JCC.2022.06.017 – volume: 50 start-page: 113 year: 2025 ident: erxae0558bib37 article-title: Improved salp swarm and bare bones mayfly optimization algorithm-based CH selection and sink node mobility for improving network longevity in WSNs publication-title: Sādhanā doi: 10.1007/s12046-024-02665-y – volume: 26 start-page: 5595 year: 2020 ident: erxae0558bib9 article-title: Evolutionary intelligence in wireless sensor network: routing, clustering, localization and coverage publication-title: Wirel. Netw. doi: 10.1007/s11276-019-02008-4 – volume: 15 start-page: 384 year: 2021 ident: erxae0558bib19 article-title: Hybrid grey wolf sunflower optimisation algorithm for energy-efficient CH selection in wireless sensor networks for lifetime enhancement publication-title: IET Commun. doi: 10.1049/cmu2.12072 – volume: 30 start-page: 1773 year: 2024 ident: erxae0558bib26 article-title: Performance enhancement of efficient clustering and routing protocol for wireless sensor networks using improved elephant herd optimization algorithm publication-title: Wirel. Netw. doi: 10.1007/s11276-023-03617-w – volume: 21 start-page: 1–19 year: 2024 ident: erxae0558bib15 article-title: Hybrid seagull and whale optimization algorithm-based dynamic clustering protocol for improving network longevity in wireless sensor networks publication-title: China Communications doi: 10.23919/JCC.ea.2022-0141.202401 – volume: 3 start-page: 189 year: 2019 ident: erxae0558bib16 article-title: An energy-efficient CH selection using artificial bees colony optimization for wireless sensor networks publication-title: Advances in Nature-Inspired Computing and Applications doi: 10.1007/978-3-319-96451-5_8 – volume: 123 start-page: 102692 year: 2021 ident: erxae0558bib33 article-title: EEHCHR: energy efficient hybrid clustering and hierarchical routing for wireless sensor networks publication-title: Ad Hoc Networks doi: 10.1016/j.adhoc.2021.102692 – volume: 12 start-page: 46422 year: 2024 ident: erxae0558bib28 article-title: Data traffic based shape independent adaptive unequal clustering for heterogeneous wireless sensor networks publication-title: IEEE Access doi: 10.1109/ACCESS.2024.3381520 – year: 2024 ident: erxae0558bib31 article-title: Optimized cluster routing protocol with energy-sustainable mechanisms for wireless sensor networks publication-title: IEEE Access doi: 10.1109/ACCESS.2024.3429645 – volume: 20 start-page: 1 year: 2024 ident: erxae0558bib32 article-title: SN grouping for energy efficient clustering in wireless sensor networks publication-title: Nanotechnology Perceptions – volume: 16 start-page: 1550147720949133 year: 2020 ident: erxae0558bib1 article-title: Swarm intelligence–based energy efficient clustering with multihop routing protocol for sustainable wireless sensor networks publication-title: Int. J. Distrib. Sens. Netw. doi: 10.1177/1550147720949133 – volume: 31 start-page: 2109 year: 2024 ident: erxae0558bib11 article-title: Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review publication-title: Arch. Comput. Meth. Eng. doi: 10.1007/s11831-023-10039-6 – volume: 36 year: 2023 ident: erxae0558bib5 article-title: Improved bat optimization algorithm and enhanced artificial bee colony-based cluster routing scheme for extending network lifetime in wireless sensor networks publication-title: Int. J. Commun. Syst. doi: 10.1002/dac.5428 – volume: 241 start-page: 122780 year: 2023 ident: erxae0558bib20 article-title: An improved levy chaotic particle swarm optimization algorithm for energy-efficient cluster routing scheme in industrial wireless sensor networks publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2023.122780 – volume: 13 start-page: 13046 year: 2023 ident: erxae0558bib25 article-title: A cluster-based trusted routing method using fire hawk optimizer (FHO) in wireless sensor networks (WSNs) publication-title: Sci. Rep. doi: 10.1038/s41598-023-40273-8 – volume: 58 start-page: 79 year: 2025 ident: erxae0558bib36 article-title: Enhancing wireless sensor network lifespan and efficiency through improved CH selection using improved squirrel search algorithm publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-024-11088-4 – volume: 93 start-page: 104597 year: 2022 ident: erxae0558bib10 article-title: Energy optimization using swarm intelligence for IoT-Authorized underwater wireless sensor networks publication-title: Microprocess. Microsyst. doi: 10.1016/j.micpro.2022.104597 – volume: 23 start-page: 199 year: 2024 ident: erxae0558bib27 article-title: Energy-efficient trust-aware secured neuro-fuzzy clustering with sparrow search optimization in wireless sensor network publication-title: Int. J. Inf. Secur. doi: 10.1007/s10207-023-00737-4 – volume: 24 start-page: 101015 year: 2024 ident: erxae0558bib30 article-title: Distributed clustering model for energy efficiency based topology control using game theory in wireless sensor networks publication-title: Sustainable Computing: Informatics and Systems doi: 10.1016/j.suscom.2024.101015 |
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| SubjectTerms | energy stability gannet optimization algorithm (GOA) genetic algorithm (GA) network lifetime route determination smart computing wireless sensor networks (WSNs) |
| Title | Hybrid gannet optimization algorithm-based energy efficient cluster routing mechanism for extending network longevity in sensor networks |
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