Publication:
Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks

datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Thanh Le Viet
dc.contributor.author Minh-Phung Bui
dc.contributor.author Thanh-Minh Phan
dc.contributor.author Thanh-Dung Tran
dc.date.accessioned 2023-09-27T03:21:16Z
dc.date.available 2023-09-27T03:21:16Z
dc.date.issued 2023
dc.description.abstract <jats:p>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.</jats:p>
dc.identifier.doi 10.4108/eetinis.v10i2.2997
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/8778
dc.language.iso en_US
dc.relation.ispartof EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
dc.relation.issn 2410-0218
dc.subject Ant colony optimization
dc.subject fuzzy clustering
dc.subject heuristic routing
dc.subject wireless sensor networks
dc.title Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 2
oaire.citation.volume 10
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