Khalek, HA and Mhamdi, L (2023) Light-Weight Congestion Control in Constrained IoT Networks. In: 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 04-08 Dec 2022, Rio de Janeiro, Brazil. IEEE , pp. 6265-6270. ISBN 978-1-6654-3541-3
Abstract
The Internet of Things (IoT) is a growing technology that remotely connects multiple devices (ranging across many fields and applications) over the Internet. The scalability of an IoT network mandates a reliable transport infrastructure. Traditional TCP control protocol is unsuitable for such domain, mainly due to energy and power consumption reasons. A lighter version of TCP, Light Weight IP (lwIP) provides a promising solution for current and projected future scalable IoT infrastructures. However, the original lwlP is just a simple mapping of the protocol, without insight into the IoT specific requirements. This paper examines the 1wIp congestion control mechanism and addresses its shortcomings. In particular, a detailed examination is devoted to the various metrics such as Retransmission Time-Outs (RTOs) and its back-off epochs, the congestion window behaviour and progress in the absence (and presence) of congestion. In particular, we propose a set of novel algorithms to address both the IoT constraints nature (light-weight) as well as keeping up with scalability in IoT network size and performance. A detailed simulation study has been conducted to endorse the viability of our proposed set of algorithms for next-generation IoT networks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Performance evaluation , Industries , Protocols , Power demand , Network topology , Scalability , Topology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Feb 2023 08:28 |
Last Modified: | 22 Feb 2023 13:16 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOBECOM48099.2022.10000648 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196456 |