A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol
Abstract A network created in places inaccessible to humans is known as the wireless sensor network. A sensor must detect data/information before it sends this data to a base station. Data can be routed between just one node to a base station using a variety of routing protocols. The hierarchical ro...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Wireless Sensor Systems |
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| Online Access: | https://doi.org/10.1049/wss2.12091 |
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| author | Punith Bekal Pramod Kumar Pallavi R. Mane |
| author_facet | Punith Bekal Pramod Kumar Pallavi R. Mane |
| author_sort | Punith Bekal |
| collection | DOAJ |
| description | Abstract A network created in places inaccessible to humans is known as the wireless sensor network. A sensor must detect data/information before it sends this data to a base station. Data can be routed between just one node to a base station using a variety of routing protocols. The hierarchical routing method is one of the routing protocols that hierarchically distributes sensed data. Using clustering to arrange the network into an interconnected hierarchy has shown to be a successful strategy. Bio‐inspired particle swarm optimisation is combined with the Enhanced LEACH protocol to overcome the shortcomings of conventional protocol like overall consumption of energy, the total number of survival nodes, and packets being delivered during the network's life. Metaheuristic approach of particle swarm optimisation which explores alternative paths during optimisation, leading to more adaptive and efficient energy dissipation. Enhanced LEACH with the bioinspired protocol makes it more efficient for real‐time applications. Simulation results show that the proposed protocol has a greater advantage over the conventional and Enhanced LEACH. |
| format | Article |
| id | doaj-art-6ebd0a8b334e432981902f9a39b22d5a |
| institution | DOAJ |
| issn | 2043-6386 2043-6394 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Wireless Sensor Systems |
| spelling | doaj-art-6ebd0a8b334e432981902f9a39b22d5a2025-08-20T02:40:00ZengWileyIET Wireless Sensor Systems2043-63862043-63942024-12-0114641042610.1049/wss2.12091A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocolPunith Bekal0Pramod Kumar1Pallavi R. Mane2Department of Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal IndiaDepartment of Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal IndiaDepartment of Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal IndiaAbstract A network created in places inaccessible to humans is known as the wireless sensor network. A sensor must detect data/information before it sends this data to a base station. Data can be routed between just one node to a base station using a variety of routing protocols. The hierarchical routing method is one of the routing protocols that hierarchically distributes sensed data. Using clustering to arrange the network into an interconnected hierarchy has shown to be a successful strategy. Bio‐inspired particle swarm optimisation is combined with the Enhanced LEACH protocol to overcome the shortcomings of conventional protocol like overall consumption of energy, the total number of survival nodes, and packets being delivered during the network's life. Metaheuristic approach of particle swarm optimisation which explores alternative paths during optimisation, leading to more adaptive and efficient energy dissipation. Enhanced LEACH with the bioinspired protocol makes it more efficient for real‐time applications. Simulation results show that the proposed protocol has a greater advantage over the conventional and Enhanced LEACH.https://doi.org/10.1049/wss2.12091energy consumptionprotocolswireless sensor networks |
| spellingShingle | Punith Bekal Pramod Kumar Pallavi R. Mane A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol IET Wireless Sensor Systems energy consumption protocols wireless sensor networks |
| title | A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol |
| title_full | A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol |
| title_fullStr | A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol |
| title_full_unstemmed | A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol |
| title_short | A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation‐based Enhanced LEACH protocol |
| title_sort | metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation based enhanced leach protocol |
| topic | energy consumption protocols wireless sensor networks |
| url | https://doi.org/10.1049/wss2.12091 |
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