Full Connectivity Driven K-LEACH Algorithm for Efficient Data Forwarding in Wireless Sensor Networks

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dc.contributor.authorAfify, Ahmed Ashraf
dc.contributor.authorTadros, Catherine Nayer
dc.contributor.authorCengiz, Korhan
dc.contributor.authorMokhtar, Bassem
dc.date.accessioned2024-06-12T11:04:01Z
dc.date.available2024-06-12T11:04:01Z
dc.date.issued2023
dc.departmentTrakya Üniversitesien_US
dc.description5th International Conference on Innovative Computing and Communications (ICICC) -- FEB 19-20, 2022 -- Univ Delhi, Shaheed Sukhdev Coll Business Studies, Delhi, INDIAen_US
dc.description.abstractDue to the usage of Internet in everything in our life, our environment is transformed into digital society, in which everything can be accessed from anywhere. This is the main concept of Internet of Things (IoT), which consists of intelligent devices connected together without location limitation. These devices can be sensors and actuators, which are used in environmental monitoring, home automation, disaster management and more. This is the definition of Wireless Sensor Network (WSN), which is considered a subset from IoT environment. WSN consists of hundreds of nodes spread in different area for monitoring different physical objects, it suffers from highest energy consumption of nodes, which affect network lifetime. Different routing protocols are used to cope with this challenge, Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is the most common used one. LEACH is a cluster-based micro sensor network protocol that offers energy-efficient, and scalable routing for sensor nodes. So, in this paper, we investigate and present a modified algorithm using LEACH in conjunction with K-means clustering approach in order to achieve a Full Connectivity Driven K-LEACH algorithm (FCDK-LEACH). Based on the CH selection, the k-means algorithm aids in decreasing energy usage and therefore extending network lifetime. The CH is chosen based on the remaining energy level and the CH's position with relation to the sensor node. The evaluation results show that our modified k-means-based hierarchical clustering enhances network lifetime.en_US
dc.description.sponsorshipNatl Inst Technol Patna,Univ Valladolid,Korea Inst Digital Convergenceen_US
dc.identifier.doi10.1007/978-981-19-3679-1_38
dc.identifier.endpage475en_US
dc.identifier.isbn978-981-19-3678-4
dc.identifier.isbn978-981-19-3679-1
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-85142692024en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage467en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-19-3679-1_38
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21878
dc.identifier.volume492en_US
dc.identifier.wosWOS:000937095400038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofInternational Conference On Innovative Computing And Communications, Icicc 2022, Vol 3en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIoten_US
dc.subjectLEACHen_US
dc.subjectK-Meansen_US
dc.subjectEnergy Efficiencyen_US
dc.subjectClusteringen_US
dc.titleFull Connectivity Driven K-LEACH Algorithm for Efficient Data Forwarding in Wireless Sensor Networksen_US
dc.typeConference Objecten_US

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