IoT Traffic Shaping and the Massive Access Problem

dc.contributor.author Erol Gelenbe
dc.contributor.author Karl Sigman
dc.contributor.author Sigman, Karl
dc.contributor.author Gelenbe, Erol
dc.date.accessioned 2025-10-06T17:50:09Z
dc.date.issued 2022
dc.description.abstract IoT gateways aim to meet the deadlines and QoS needs of packets from as many IoT devices as possible though this can lead to a form of congestion known as the Massive Access Problem (MAP). While much work was conducted on predictive or reactive scheduling schemes to match the arrival process of packets to the service capabilities of IoT gateways such schemes may use substantial computation and communication between gateways and IoT devices. This paper proves that the recently proposed "Quasi-Deterministic-Transmission-Policy (QDTP)"traffic shaping approach which delays packets at IoT devices substantially alleviates the MAP: QDTP does not increase overall end-to-end delay and reduces gateway queue length. We then introduce the Adaptive Non-Deterministic Transmission Pol-icy (ANTP) that requires only one packet buffer at the gateway offering substantial QoS improvement over FIFO scheduling. © 2022 Elsevier B.V. All rights reserved.
dc.description.sponsorship et al., Huawei, LG, Qualcomm, Samsung, Technology Innovation Institute (TII)
dc.description.sponsorship *Research supported by the EU H2020 Program under the IoTAC Research and Innovation Action, with Grant Agreement No. 952684.
dc.description.sponsorship EU H2020 Program; IoTAC Research and Innovation Action; Horizon 2020 Framework Programme, H2020, (952684); Horizon 2020 Framework Programme, H2020
dc.description.sponsorship EU H2020 Program under the IoTAC Research and Innovation Action [952684]; H2020 - Industrial Leadership [952684] Funding Source: H2020 - Industrial Leadership
dc.identifier.doi 10.1109/ICC45855.2022.9839054
dc.identifier.isbn 9781538674628, 9781612842332, 0780300068, 9781467331227, 9781538680889, 078030599X, 9781424403530, 0780309510, 9781612849553, 9781467381963
dc.identifier.isbn 9781538683477
dc.identifier.issn 15503607, 05361486
dc.identifier.issn 1550-3607
dc.identifier.scopus 2-s2.0-85137106409
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137106409&doi=10.1109%2FICC45855.2022.9839054&partnerID=40&md5=0f0f4b6e14130d8af14985ee7f79ddc6
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8798
dc.identifier.uri https://doi.org/10.1109/ICC45855.2022.9839054
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 2022 IEEE International Conference on Communications ICC 2022
dc.relation.ispartofseries IEEE International Conference on Communications
dc.rights info:eu-repo/semantics/closedAccess
dc.source Conference Record - International Conference on Communications
dc.subject Adaptive Non-deterministic Transmission Policy (antp), Internet Of Things (iot), Massive Access Problem, Quality Of Service, Quasi-deterministic Transmission Policy (qdtp), Queueing Analysis, Traffic Shaping, Gateways (computer Networks), Internet Of Things, Scheduling, Traffic Congestion, Adaptive Non-deterministic Transmission Policy, Deterministics, Internet Of Thing, Massive Access Problem, Quality-of-service, Quasi-deterministic Transmission Policy, Queueing Analysis, Traffic-shaping, Transmission Policy, Quality Of Service
dc.subject Gateways (computer networks), Internet of things, Scheduling, Traffic congestion, Adaptive non-deterministic transmission policy, Deterministics, Internet of thing, Massive access problem, Quality-of-service, Quasi-deterministic transmission policy, Queueing analysis, Traffic-shaping, Transmission policy, Quality of service
dc.subject Massive Access Problem
dc.subject Quasi-Deterministic Transmission Policy (QDTP)
dc.subject Traffic Shaping
dc.subject Adaptive Non-Deterministic Transmission Policy (ANTP)
dc.subject Internet of Things (IoT)
dc.subject Queueing Analysis
dc.subject Quality of Service
dc.title IoT Traffic Shaping and the Massive Access Problem
dc.type Conference Object
dspace.entity.type Publication
gdc.author.scopusid 6603928869
gdc.author.scopusid 7006026729
gdc.author.wosid Gelenbe, Sami/ABA-1077-2020
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gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
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gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Gelenbe, Erol] Polish Ac Sci, Inst Theoret & Appl Informat, PL-44100 Gliwice, Poland; [Gelenbe, Erol] Univ Cote DAzur, CNRS, I3S Lab, Nice, France; [Gelenbe, Erol] Imperial Coll, CNRS, A De Moivre Lab, Izmir, Turkey; [Gelenbe, Erol] Yasar Univ, Izmir, Turkey; [Sigman, Karl] Columbia Univ, Dept Ind Eng & Operat Res, New York, NY 10027 USA; [Sigman, Karl] Columbia Univ, New York, NY USA
gdc.description.endpage 2737
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 2732
gdc.description.volume 2022-May
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.identifier.openalex W4290996725
gdc.identifier.wos WOS:000864709903002
gdc.index.type Scopus
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gdc.oaire.downloads 30
gdc.oaire.impulse 7.0
gdc.oaire.influence 2.6998948E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Traffic Shaping
gdc.oaire.keywords Internet of Things (IoT), Traffic Shaping, Quasi-Deterministic Transmission Policy (QDTP), Adaptive Non- Deterministic Transmission Policy (ANTP), Quality of Service, Massive Access Problem, Queueing Analysis
gdc.oaire.keywords Massive Access Problem
gdc.oaire.keywords Adaptive Non--Deterministic-Transmission Policy
gdc.oaire.keywords Quality of Service
gdc.oaire.keywords Queueing Analysis
gdc.oaire.keywords Internet of Things (IoT)
gdc.oaire.popularity 6.8569284E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 9
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 17
gdc.scopus.citedcount 17
gdc.wos.citedcount 6
oaire.citation.endPage 2737
oaire.citation.startPage 2732
person.identifier.scopus-author-id Gelenbe- Erol (7006026729), Sigman- Karl (6603928869)
project.funder.name *Research supported by the EU H2020 Program under the IoTAC Research and Innovation Action with Grant Agreement No. 952684.
publicationvolume.volumeNumber 2022-May
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relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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