Mitigating the Massive Access Problem in the Internet of Things

dc.contributor.author Erol Gelenbe
dc.contributor.author Mert Nakıp
dc.contributor.author Dariusz Marek
dc.contributor.author Tadeusz Czachórskí
dc.contributor.author Czachorski, Tadeusz
dc.contributor.author Marek, Dariusz
dc.contributor.author Nakıp, Mert
dc.contributor.author Gelenbe, Erol
dc.contributor.editor E. Gelenbe , M. Jankovic , D. Kehagias , A. Marton , A. Vilmos
dc.date.accessioned 2025-10-06T17:50:11Z
dc.date.issued 2022
dc.description.abstract The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP) that results in packet losses delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines but also so that they do not constitute bulk arrivals. The second approach is a novel traffic shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gateway by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized that describe the benefits of these techniques. © 2022 Elsevier B.V. All rights reserved.
dc.description.sponsorship Acknowledgments. This research has been supported by the European Commission H2020 Program through the IoTAC Research and Innovation Action, under Grant Agreement No. 952684.
dc.description.sponsorship European Commission H2020 Program; IoTAC Research and Innovation Action, (952684)
dc.identifier.doi 10.1007/978-3-031-09357-9_10
dc.identifier.isbn 9789819671748, 9789819664610, 9783032026743, 9783032008831, 9783032026712, 9789819671779, 9783031949425, 9789819666874, 9783031936968, 9783031941207
dc.identifier.isbn 9783031093562
dc.identifier.issn 18650937, 18650929
dc.identifier.issn 1865-0929
dc.identifier.scopus 2-s2.0-85134345728
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134345728&doi=10.1007%2F978-3-031-09357-9_10&partnerID=40&md5=db19c27c36e73f88b510193a2afc67bb
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8816
dc.identifier.uri https://doi.org/10.1007/978-3-031-09357-9_10
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof 2nd International Symposium on Security in Computer and Information Sciences EuroCybersec 2021
dc.rights info:eu-repo/semantics/openAccess
dc.source Communications in Computer and Information Science
dc.subject Diffusion Approximation, Internet Of Things (iot), Iot Gateways, Massive Access Problem, Quasi-deterministic Transmission Policy, Trace Driven Simulations, Gateways (computer Networks), Packet Networks, Traffic Congestion, Deterministics, Diffusion Approximations, Internet Of Thing, Internet Of Thing Gateway, Massive Access Problem, Packet Arrivals, Packets Loss, Quasi-deterministic Transmission Policy, Trace Driven Simulation, Transmission Policy, Internet Of Things
dc.subject Gateways (computer networks), Packet networks, Traffic congestion, Deterministics, Diffusion approximations, Internet of thing, Internet of thing gateway, Massive access problem, Packet arrivals, Packets loss, Quasi-deterministic transmission policy, Trace driven simulation, Transmission policy, Internet of things
dc.subject Massive Access Problem
dc.subject IoT Gateways
dc.subject Quasi-Deterministic Transmission Policy
dc.subject Trace Driven Simulations
dc.subject Diffusion Approximation
dc.subject Internet of Things (IoT)
dc.title Mitigating the Massive Access Problem in the Internet of Things
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.departmenttemp [Gelenbe E.] Institute of Theoretical and Applied Informatics Polish Academy of Sciences, Gliwice, 44-100, Poland, Yaşar University, Bornova, İzmir, Turkey, CNRS Lab. I3S Université, Côte d’Azur, Nice, France, CNRS Lab. Abraham de Moivre, London, United Kingdom; [Nakıp M.] Institute of Theoretical and Applied Informatics Polish Academy of Sciences, Gliwice, 44-100, Poland; [Marek D.] Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, 44-100, Poland; [Czachorski T.] Institute of Theoretical and Applied Informatics Polish Academy of Sciences, Gliwice, 44-100, Poland
gdc.description.endpage 132
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 118
gdc.description.volume 1596 CCIS
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gdc.opencitations.count 2
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gdc.virtual.author Nakip, Mert
oaire.citation.endPage 132
oaire.citation.startPage 118
person.identifier.scopus-author-id Gelenbe- Erol (7006026729), Nakıp- Mert (57212473263), Marek- Dariusz (57202501072), Czachórskí- Tadeusz (23396207600)
project.funder.name Acknowledgments. This research has been supported by the European Commission H2020 Program through the IoTAC Research and Innovation Action under Grant Agreement No. 952684.
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