Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks
Wireless sensor networks (WSNs) have been one of the fields that have attracted a lot of attentions from many scientific researchers in recent years. The sensor nodes of the network are fixed or moved to detect the environment and impart the data accumulated from the remote monitored regions via wi...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2023-06-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/inis/article/view/2997 |
| _version_ | 1797807419404845056 |
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| author | Thanh Le Viet Minh-Phung Bui Thanh-Minh Phan Thanh-Dung Tran |
| author_facet | Thanh Le Viet Minh-Phung Bui Thanh-Minh Phan Thanh-Dung Tran |
| author_sort | Thanh Le Viet |
| collection | DOAJ |
| description |
Wireless sensor networks (WSNs) have been one of the fields that have attracted a lot of attentions from many scientific researchers in recent years. The sensor nodes of the network are fixed or moved to detect the environment and impart the data accumulated from the remote monitored regions via wireless connections. It is indicated in complex environments such as forests, deep seas, urban areas, etc., the sensor nodes in WSNs are usually tiny and battery-driven devices. Thus, energy-effective data accumulation methods required to improve the network’s lifetime are very necessary. In this paper, we propose a joint technique of fuzzy clustering and heuristic ant routing (FCHAR) to save the energy for low-power WSNs. Simulation results are shown to demonstrate the benefits of the proposed FCHAR compared to other conventional ones.
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| first_indexed | 2024-03-13T06:22:12Z |
| format | Article |
| id | doaj.art-ef146f4ce6c147de836bcfdfbc631952 |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-03-13T06:22:12Z |
| publishDate | 2023-06-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| spelling | doaj.art-ef146f4ce6c147de836bcfdfbc6319522023-06-09T17:51:41ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182023-06-0110210.4108/eetinis.v10i2.2997Joint Clustering and Routing Optimisation for Low-power Wireless Sensor NetworksThanh Le Viet0Minh-Phung Bui1Thanh-Minh Phan2Thanh-Dung Tran3Ton Duc Thang University Van Lang University Faculty of Aviation Operations, Vietnam Aviation Academy, Ho Chi Minh City, VietnamAbsolute Software Company, Ho Chi Minh City, Vietnam Wireless sensor networks (WSNs) have been one of the fields that have attracted a lot of attentions from many scientific researchers in recent years. The sensor nodes of the network are fixed or moved to detect the environment and impart the data accumulated from the remote monitored regions via wireless connections. It is indicated in complex environments such as forests, deep seas, urban areas, etc., the sensor nodes in WSNs are usually tiny and battery-driven devices. Thus, energy-effective data accumulation methods required to improve the network’s lifetime are very necessary. In this paper, we propose a joint technique of fuzzy clustering and heuristic ant routing (FCHAR) to save the energy for low-power WSNs. Simulation results are shown to demonstrate the benefits of the proposed FCHAR compared to other conventional ones. https://publications.eai.eu/index.php/inis/article/view/2997Ant Colony Optimizationfuzzy clusteringheuristic routingwireless sensor networks |
| spellingShingle | Thanh Le Viet Minh-Phung Bui Thanh-Minh Phan Thanh-Dung Tran Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Ant Colony Optimization fuzzy clustering heuristic routing wireless sensor networks |
| title | Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks |
| title_full | Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks |
| title_fullStr | Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks |
| title_full_unstemmed | Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks |
| title_short | Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks |
| title_sort | joint clustering and routing optimisation for low power wireless sensor networks |
| topic | Ant Colony Optimization fuzzy clustering heuristic routing wireless sensor networks |
| url | https://publications.eai.eu/index.php/inis/article/view/2997 |
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