IoT Traffic Shaping and the Massive Access Problem

dc.contributor.author Erol Gelenbe
dc.contributor.author Karl Sigman
dc.coverage.spatial IEEE International Conference on Communications (ICC)
dc.date.accessioned 2025-10-06T16:23:29Z
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 Policy (ANTP) that requires only one packet buffer at the gateway offering substantial QoS improvement over FIFO scheduling.
dc.identifier.doi 10.1109/ICC45855.2022.9839054
dc.identifier.isbn 978-1-5386-8347-7
dc.identifier.issn 1550-3607
dc.identifier.uri http://dx.doi.org/10.1109/ICC45855.2022.9839054
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7858
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof IEEE International Conference on Communications (ICC)
dc.source IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
dc.subject 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
dc.subject MAC PROTOCOL, LOW-LATENCY, NETWORK, DESIGN, PERFORMANCE, MACHINE, PREDICTION
dc.title IoT Traffic Shaping and the Massive Access Problem
dc.type Conference Object
dspace.entity.type Publication
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gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.endpage 2737
gdc.description.startpage 2732
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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
gdc.oaire.views 12
gdc.openalex.collaboration International
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gdc.opencitations.count 9
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 17
oaire.citation.endPage 2737
oaire.citation.startPage 2732
project.funder.name EU H2020 Program under the IoTAC Research and Innovation Action [952684], H2020 - Industrial Leadership [952684] Funding Source: H2020 - Industrial Leadership
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