IoT Traffic Shaping and the Massive Access Problem
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Date
2022
Authors
Erol Gelenbe
Karl Sigman
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
30
OpenAIRE Views
12
Publicly Funded
No
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.
Description
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, MAC PROTOCOL, LOW-LATENCY, NETWORK, DESIGN, PERFORMANCE, MACHINE, PREDICTION, Traffic Shaping, 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, Massive Access Problem, Adaptive Non--Deterministic-Transmission Policy, Quality of Service, Queueing Analysis, Internet of Things (IoT)
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
9
Source
IEEE International Conference on Communications (ICC)
Volume
Issue
Start Page
2732
End Page
2737
Collections
PlumX Metrics
Citations
CrossRef : 2
Scopus : 17
Captures
Mendeley Readers : 10
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