QoS-based routing protocol and load balancing in wireless sensor networks using the markov model and the artificial bee colony algorithm

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dc.authoridSefati, Seyed Salar/0000-0002-7208-3576
dc.authoridGhaffari, Ali/0000-0001-5407-8629
dc.authorwosidSefati, Seyed Salar/AAU-2556-2021
dc.authorwosidGhaffari, Ali/AAV-3651-2020
dc.contributor.authorSefati, Seyed Salar
dc.contributor.authorAbdi, Mehrdad
dc.contributor.authorGhaffari, Ali
dc.date.accessioned2024-05-19T14:50:22Z
dc.date.available2024-05-19T14:50:22Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractDue to resource constraints in wireless sensor networks (WSNs), energy consumption and networks' lifetime are considered significant challenges. Because sensors have a tiny battery and cannot be charged again. In WSN, collected data is usually transferred to the Base station (BS) directly or hop-by-hop. Therefore, load balancing and routing are one of the main issues in the WSN. This paper proposes a new routing scheme with load-balancing capability using the Markov Model (MM) and the Artificial Bee Colony (ABC) algorithm. LEACH algorithm is used to maintain load balancing between Cluster Heads (CHs). Then the Markov Model and the Artificial Bee Colony (MMABC) algorithm were used to find the best candidate nodes of each cluster to be turned into a CH. The simulation results in MATLAB software demonstrated that the proposed method surpasses the compared methods in terms of energy efficiency, number of alive nodes, and the number of delivered packets to BS and CH.en_US
dc.description.sponsorshipEuropean Union [861219]; Marie Curie Actions (MSCA) [861219] Funding Source: Marie Curie Actions (MSCA)en_US
dc.description.sponsorshipThis study has been conducted under the project Mobility and Training for beyond 5G ecosystems (MOTOR5G)'. The project has received funding from the European Union's Horizon 2020 program under the Marie Sklodowska Curie Actions (MSCA) Innovative Training Network (ITN) having grant agreement No. 861219.en_US
dc.identifier.doi10.1007/s12083-023-01502-z
dc.identifier.endpage1512en_US
dc.identifier.issn1936-6442
dc.identifier.issn1936-6450
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85159685639en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1499en_US
dc.identifier.urihttps://doi.org10.1007/s12083-023-01502-z
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5688
dc.identifier.volume16en_US
dc.identifier.wosWOS:000990428800002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofPeer-To-Peer Networking and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectWireless Sensor Networken_US
dc.subjectRoutingen_US
dc.subjectClusteringen_US
dc.subjectEnergy Balancingen_US
dc.subjectMarkov Modelen_US
dc.subjectArtificial Bee Colonyen_US
dc.titleQoS-based routing protocol and load balancing in wireless sensor networks using the markov model and the artificial bee colony algorithmen_US
dc.typeArticleen_US

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