Al-Kashoash, HAA orcid.org/0000-0001-9681-8285, Kharrufa, H, Al-Nidawi, Y et al. (1 more author)
(2019)
Congestion control in wireless sensor and 6LoWPAN networks: toward the Internet of Things.
Wireless Networks, 25 (8).
pp. 4493-4522.
ISSN 1022-0038
Abstract
The Internet of Things (IoT) is the next big challenge for the research community where the IPv6 over low power wireless personal area network (6LoWPAN) protocol stack is a key part of the IoT. Recently, the IETF ROLL and 6LoWPAN working groups have developed new IP based protocols for 6LoWPAN networks to alleviate the challenges of connecting low memory, limited processing capability, and constrained power supply sensor nodes to the Internet. In 6LoWPAN networks, heavy network traffic causes congestion which significantly degrades network performance and impacts on quality of service aspects such as throughput, latency, energy consumption, reliability, and packet delivery. In this paper, we overview the protocol stack of 6LoWPAN networks and summarize a set of its protocols and standards. Also, we review and compare a number of popular congestion control mechanisms in wireless sensor networks (WSNs) and classify them into traffic control, resource control, and hybrid algorithms based on the congestion control strategy used. We present a comparative review of all existing congestion control approaches in 6LoWPAN networks. This paper highlights and discusses the differences between congestion control mechanisms for WSNs and 6LoWPAN networks as well as explaining the suitability and validity of WSN congestion control schemes for 6LoWPAN networks. Finally, this paper gives some potential directions for designing a novel congestion control protocol, which supports the IoT application requirements, in future work.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer Science+Business Media, LLC, part of Springer Nature. This is an author produced version of a paper published in Wireless Networks. The final publication is available at Springer via https://doi.org/10.1007/s11276-018-1743-y. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Wireless sensor networks; 6LoWPAN networks; Internet of Things; Congestion control; Resource control; Traffic control; Hybrid schemes |
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) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/P023312/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2018 13:43 |
Last Modified: | 30 Jun 2020 14:48 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1007/s11276-018-1743-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131836 |