A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT

dc.contributor.author	Rodoplu, V.
dc.contributor.author	Nakip, M.
dc.contributor.author	Eliiyi, D.T.
dc.contributor.author	Guzelis, C.
dc.date.accessioned	2021-01-25T19:32:33Z
dc.date.available	2021-01-25T19:32:33Z
dc.date.issued	2020
dc.identifier	10.1109/JIOT.2020.2992391
dc.identifier.issn	2327-4662
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7242
dc.description.abstract	The massive access problem of the Internet of Things (IoT) is the problem of enabling the wireless access of a massive number of IoT devices to the wired infrastructure. In this article, we describe a multiscale algorithm (MSA) for joint forecasting-sched
dc.description.sponsorship	Project Support Commission of Yasar University [BAP060]; TUBITAK (Scientific and Technological Research Council of Turkey) under the 1001 ProgramTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [118E277]
dc.language.iso	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.title	A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT
dc.type	Article
dc.relation.firstpage	8572
dc.relation.lastpage	8589
dc.relation.volume	7
dc.relation.issue	9
dc.description.woscategory	Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
dc.description.wosresearcharea	Computer Science; Engineering; Telecommunications
dc.identifier.wosid	WOS:000571765000060

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