QUIC-Enabled Framework for Alleviating Transient Congestion in Time-Critical IoT

The real-time control capability of IoT devices is contingent upon the transmission of packets. However, due to the influence of multiple devices accessing the network, the bandwidth available to IoT devices from access points may decline significantly, which causes a surge in the queuing latency and interrupts the transmission. This phenomenon is referred to as transient congestion. To achieve stable high-quality network service, this paper designs RushWay, a QUIC-enabled framework for alleviating transient congestion. RushWay employs stream multiplexing to compress the original packet into the stream frame, thereby reducing the bandwidth required for transmission. Furthermore, RushWay employs an adaptive decision-making algorithm to assess uplink queue conditions and packet latency requirements, thereby alleviating transient congestion. The simulation results demonstrate that RushWay can improve key performance by 13% to 94%.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697424
Citations
1
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.35
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QUIC-Enabled Framework for Alleviating Transient Congestion in Time-Critical IoT

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article

QUIC-Enabled Framework for Alleviating Transient Congestion in Time-Critical IoT

Haifeng Sun, Jianxin Liao, Zirui Zhuang, Qi Qi, Jingyu Wang, Bo He, Hong-fu Zhao
article en
1 citations

Abstract

The real-time control capability of IoT devices is contingent upon the transmission of packets. However, due to the influence of multiple devices accessing the network, the bandwidth available to IoT devices from access points may decline significantly, which causes a surge in the queuing latency and interrupts the transmission. This phenomenon is referred to as transient congestion. To achieve stable high-quality network service, this paper designs RushWay, a QUIC-enabled framework for alleviating transient congestion. RushWay employs stream multiplexing to compress the original packet into the stream frame, thereby reducing the bandwidth required for transmission. Furthermore, RushWay employs an adaptive decision-making algorithm to assess uplink queue conditions and packet latency requirements, thereby alleviating transient congestion. The simulation results demonstrate that RushWay can improve key performance by 13% to 94%.

Beijing University of Posts and Telecommunications (CN)
Climate action
Openalex Percentile: Top 36%
Network Time Synchronization Technologies
0.35
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