Load-balance scheduling for intelligent sensors deployment in industrial internet of things

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dc.authoridCengiz, Korhan/0000-0001-6594-8861
dc.authoridCengiz, Korhan/0000-0001-6594-8861
dc.authoridDumba, Braulio/0000-0001-9005-5619
dc.authorwosidSah, Dinesh/A-4912-2018
dc.authorwosidCengiz, Korhan/ABD-5559-2020
dc.authorwosidCengiz, Korhan/HTN-8060-2023
dc.contributor.authorSah, Dinesh Kumar
dc.contributor.authorNguyen, Tu N.
dc.contributor.authorCengiz, Korhan
dc.contributor.authorDumba, Braulio
dc.contributor.authorKumar, Vikas
dc.date.accessioned2024-06-12T11:03:53Z
dc.date.available2024-06-12T11:03:53Z
dc.date.issued2022
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe Industrial Internet of Things uses intelligent sensors to collect the physical properties of objects placed on a large area. It provides innovative service and network functioning, such as time-bounded data delivery and efficient sensor sleep cycle management. Intelligent scheduling is crucial to assisting the situation. The periodic scheduling of radio transceivers of sensor nodes into sleep or active mode helps accomplish efficient energy consumption. Such an extensive scale network work on data collection on multihop fashion. Our proposal provides the algorithm to form the node's backbone, which task is to collect the data from sensors scatted in the area. Further, the heuristic algorithm is proposed to assist the backbone node in balancing the incoming traffic for scheduling. In Time Division Multiple Access (TDMA) driven Medium Access Control (MAC), the nodes are scheduled for data forwarding in the allotted time slot (owner node) in each time frame. Our proposed work is named aggressive scheduling medium access control (AS-MAC). If the owner node does not have data to forward, then the corresponding slot will be aggressively scheduled by other nodes. Therefore, that slot and all consecutive slots if the corresponding owner nodes do not use will go to the needy nodes. The proposed system model presents a unique instance of interference for successfully delivering control and data packets. Therefore, a probabilistic estimation has given for the packet delivery rate for the raised specific condition. Our proposal's distinctive feature is that the performance is better than Time Division Multiple Access for any given load. Finally, the packet delivery rate, packet drop, energy consumption, and time frame requirement for a different number of sensor node has been calculated and compared with the current state-of-the-art proposals.en_US
dc.identifier.doi10.1007/s10586-021-03316-1
dc.identifier.endpage1727en_US
dc.identifier.issn1386-7857
dc.identifier.issn1573-7543
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85130234777en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1715en_US
dc.identifier.urihttps://doi.org/10.1007/s10586-021-03316-1
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21823
dc.identifier.volume25en_US
dc.identifier.wosWOS:000664548000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofCluster Computing-The Journal Of Networks Software Tools And Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIntelligent Sensoren_US
dc.subjectDominating Seten_US
dc.subjectSteiner Treeen_US
dc.subjectAS-MACen_US
dc.subjectSchedulingen_US
dc.subjectIndustrial Internet Of Thingsen_US
dc.subjectMac Protocolsen_US
dc.subjectNetworksen_US
dc.subjectAlgorithmen_US
dc.titleLoad-balance scheduling for intelligent sensors deployment in industrial internet of thingsen_US
dc.typeArticleen_US

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