Improving Massive Access to IoT Gateways

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Date

2022

Authors

Erol Gelenbe
Mert Nakip
Tadeusz Czachorski

Journal Title

Journal ISSN

Volume Title

Publisher

ELSEVIER

Open Access Color

HYBRID

Green Open Access

Yes

OpenAIRE Downloads

17

OpenAIRE Views

10

Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

Research Projects

Journal Issue

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/).

Description

Keywords

Internet of Things (IoT), Traffic shaping at IoT devices, IoT Gateway congestion, Massive Access Problem, Queueing theory, Quasi Deterministic Transmission Policy, (QDTP), LOW-LATENCY, MACHINE, REDUCTION, NETWORKS, PERFORMANCE, PREDICTION, INTERNET, SYSTEMS, DESIGN, SCHEME, Massive Access Problem, Queueing Theory, Internet of Things (IoT), (QDTP), Quasi Deterministic Transmission Policy, Traffic Shaping at IoT Devices, IoT Gateway Congestion, IoT, Traffic Shaping, Quasi Deterministic Scheduling Policy, Massive Access, Internet of Things, Quality of Service, Congestion Avoidance

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
6

Source

Performance Evaluation

Volume

157-158

Issue

Start Page

102308

End Page

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Citations

CrossRef : 6

Scopus : 9

Captures

Mendeley Readers : 21

Web of Science™ Citations

8

checked on Apr 09, 2026

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0.7319

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