Multi-Channel joint forecasting-scheduling for the internet of things

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dc.authoridNAKIP, Mert / 0000-0002-6723-6494
dc.authoridTursel Eliiyi, Deniz / 0000-0001-7693-3980
dc.authorscopusid6602651842
dc.authorscopusid57212473263
dc.authorscopusid57193112819
dc.authorscopusid14521079300
dc.authorwosidNAKIP, Mert/AAM-5698-2020
dc.authorwosidTursel Eliiyi, Deniz/J-9518-2014
dc.contributor.authorRodoplu, Volkan
dc.contributor.authorNakip, Mert
dc.contributor.authorQorbanian, Roozbeh
dc.contributor.authorEliiyi, Deniz Türsel
dc.date.accessioned2022-02-15T16:58:24Z
dc.date.available2022-02-15T16:58:24Z
dc.date.issued2020
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractWe develop a methodology for Multi-Channel Joint Forecasting-Scheduling (MC-JFS) targeted at solving the Medium Access Control (MAC) layer Massive Access Problem of Machine-to-Machine (M2M) communication in the presence of multiple channels, as found in Orthogonal Frequency Division Multiple Access (OFDMA) systems. In contrast with the existing schemes that merely react to current traffic demand, Joint Forecasting-Scheduling (JFS) forecasts the traffic generation pattern of each Internet of Things (IoT) device in the coverage area of an IoT Gateway and schedules the uplink transmissions of the IoT devices over multiple channels in advance, thus obviating contention, collision and handshaking, which are found in reactive protocols. In this paper, we present the general form of a deterministic scheduling optimization program for MC-JFS that maximizes the total number of bits that are delivered over multiple channels by the delay deadlines of the IoT applications. In order to enable real-time operation of the MC-JFS system, first, we design a heuristic, called Multi-Channel Look Ahead Priority based on Average Load (MC-LAPAL), that solves the general form of the scheduling problem. Second, for the special case of identical channels, we develop a reduction technique by virtue of which an optimal solution of the scheduling problem is computed in real time. We compare the network performance of our MC-JFS scheme against Multi-Channel Reservation-based Access Barring (MC-RAB) and Multi-Channel Enhanced Reservation-based Access Barring (MC-ERAB), both of which serve as benchmark reactive protocols. Our results show that MC-JFS outperforms both MC-RAB and MC-ERAB with respect to uplink cross-layer throughput and transmit energy consumption, and that MC-LAPAL provides high performance as an MC-JFS heuristic. Furthermore, we show that the computation time of MC-LAPAL scales approximately linearly with the number of IoT devices. This work serves as a foundation for building scalable JFS schemes at IoT Gateways in the near future.en_US
dc.description.sponsorshipProject Support Commission of Yasar University within Scientific Research Project Scheduling Algorithms for Wireless Communication'' [BAP060]en_US
dc.description.sponsorshipThis work was supported by the Project Support Commission of Ya<SUP>3</SUP>ar University within the scope of the Scienti~c Research Project ``Scheduling Algorithms for Wireless Communication'' under Grant BAP060.en_US
dc.identifier.doi10.1109/ACCESS.2020.3038358
dc.identifier.endpage217354en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85097747231en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage217324en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2020.3038358
dc.identifier.urihttps://hdl.handle.net/20.500.14034/401
dc.identifier.volume8en_US
dc.identifier.wosWOS:000597787700001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.journalIeee Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectForecastingen_US
dc.subjectschedulingen_US
dc.subjectmassive accessen_US
dc.subjectIoTen_US
dc.subjectM2M communicationen_US
dc.subjectMac Protocolen_US
dc.subjectPerformance Analysisen_US
dc.subjectAccess Schemeen_US
dc.subjectNetworksen_US
dc.subjectSystemsen_US
dc.subjectDesignen_US
dc.titleMulti-Channel joint forecasting-scheduling for the internet of thingsen_US
dc.typeArticleen_US

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