Improving Massive Access to IoT Gateways
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Date
2022
Authors
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
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

OpenCitations Citation Count
6
Source
Performance Evaluation
Volume
157-158
Issue
Start Page
102308
End Page
Collections
PlumX Metrics
Citations
CrossRef : 6
Scopus : 9
Captures
Mendeley Readers : 21
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