Improving Massive Access to IoT Gateways

dc.contributor.author Erol Gelenbe
dc.contributor.author Mert Nakip
dc.contributor.author Tadeusz Czachorski
dc.contributor.author Czachorski, Tadeusz
dc.contributor.author Nakip, Mert
dc.contributor.author Gelenbe, Erol
dc.date OCT
dc.date.accessioned 2025-10-06T16:22:28Z
dc.date.issued 2022
dc.description.abstract IoT networks handle incoming packets from large numbers of IoT Devices (IoTDs) to IoT Gateways. This can lead to the IoT Massive Access Problem that causes buffer overflow large end-to-end delays and missed deadlines. This paper analyzes a novel traffic shaping method named the Quasi-Deterministic Traffic Policy (QDTP) that mitigates this problem by shaping the incoming traffic without increasing the end-to-end delay or dropping packets. Using queueing theoretic techniques and extensive data driven simulations with real IoT datasets the value of QDTP is shown as a means to considerably reduce congestion at the Gateway and significantly improve the IoT network's overall performance.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
dc.description.sponsorship This research was funded by the EC H2020 Program's IoTAC Research and Innovation Action, under Grant Agreement No. 952684.
dc.description.sponsorship EC H2020 Program's IoTAC Research and Innovation Action [952684]; H2020 - Industrial Leadership [952684] Funding Source: H2020 - Industrial Leadership
dc.identifier.doi 10.1016/j.peva.2022.102308
dc.identifier.issn 0166-5316
dc.identifier.issn 1872-745X
dc.identifier.uri http://dx.doi.org/10.1016/j.peva.2022.102308
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7389
dc.identifier.uri https://doi.org/10.1016/j.peva.2022.102308
dc.language.iso English
dc.publisher ELSEVIER
dc.relation.ispartof Performance Evaluation
dc.rights info:eu-repo/semantics/openAccess
dc.source PERFORMANCE EVALUATION
dc.subject Internet of Things (IoT), Traffic shaping at IoT devices, IoT Gateway congestion, Massive Access Problem, Queueing theory, Quasi Deterministic Transmission Policy, (QDTP)
dc.subject LOW-LATENCY, MACHINE, REDUCTION, NETWORKS, PERFORMANCE, PREDICTION, INTERNET, SYSTEMS, DESIGN, SCHEME
dc.subject Massive Access Problem
dc.subject Queueing Theory
dc.subject Internet of Things (IoT)
dc.subject (QDTP)
dc.subject Quasi Deterministic Transmission Policy
dc.subject Traffic Shaping at IoT Devices
dc.subject IoT Gateway Congestion
dc.title Improving Massive Access to IoT Gateways
dc.type Article
dspace.entity.type Publication
gdc.author.id Gelenbe, Erol/0000-0001-9688-2201
gdc.author.id Nakıp, Mert/0000-0002-6723-6494
gdc.author.wosid Nakıp, Mert/AAM-5698-2020
gdc.author.wosid Gelenbe, Erol/ABA-1077-2020
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gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Gelenbe, Erol; Nakip, Mert; Czachorski, Tadeusz] Polish Acad Sci, Inst Theoret & Appl Informat, Ul Baltycka 5, PL-44100 Gliwice, Poland; [Gelenbe, Erol] Univ Cote dAzur, Lab I3S CNRS, F-06100 Nice, France; [Gelenbe, Erol] Yasar Univ, TR-3500 Bornova, Turkey
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 102308
gdc.description.volume 157-158
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W4292476248
gdc.identifier.wos WOS:000895536900001
gdc.index.type WoS
gdc.oaire.accesstype HYBRID
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gdc.oaire.downloads 17
gdc.oaire.impulse 6.0
gdc.oaire.influence 2.7459457E-9
gdc.oaire.isgreen true
gdc.oaire.keywords IoT
gdc.oaire.keywords Traffic Shaping
gdc.oaire.keywords Quasi Deterministic Scheduling Policy
gdc.oaire.keywords Massive Access
gdc.oaire.keywords Internet of Things
gdc.oaire.keywords Quality of Service
gdc.oaire.keywords Congestion Avoidance
gdc.oaire.popularity 6.0531273E-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.openalex.collaboration International
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gdc.opencitations.count 6
gdc.plumx.crossrefcites 6
gdc.plumx.mendeley 21
gdc.plumx.scopuscites 9
gdc.virtual.author Nakip, Mert
gdc.wos.citedcount 8
person.identifier.orcid Gelenbe- Erol/0000-0001-9688-2201, Nakip- Mert/0000-0002-6723-6494
project.funder.name EC H2020 Program's IoTAC Research and Innovation Action [952684], H2020 - Industrial Leadership [952684] Funding Source: H2020 - Industrial Leadership
publicationvolume.volumeNumber 157
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