Al-Kashoash, HAA orcid.org/0000-0001-9681-8285, Al-Nidawi, Y and Kemp, AH (2016) Congestion analysis for low power and lossy networks. In: 2016 Wireless Telecommunications Symposium (WTS). 2016 Wireless Telecommunications Symposium (WTS), 18-20 Apr 2016, London, UK. IEEE ISBN 9781509003143
Abstract
Low Power and Lossy Networks (LLNs) represent one of the interesting research areas in recent years. The IETF ROLL and 6LoWPAN working groups have developed new IP based protocols for LLNs such as the RPL routing protocol. In LLNs e.g. 6LoWPANs, heavy data traffic causes congestion which significantly degrades network performance. In this paper, we explore the impact of congestion on 6LoWPAN networks where an extensive analysis is carried out with different scenarios and parameters. Analysis results show that when congestion occurs, the majority of packets are lost due to buffer overflow as compared to channel loss. Also, we found that when the application payload length is increased since IPv6 packets are fragmented, the reassembly timeout parameter value has a significant effect on network performance. Thus, it is important to consider buffer occupancy and the reassembly timeout parameter in protocol design, e.g. RPL, to improve network performance when congestion does occur.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, IEEE. This is an author produced version of a paper published in 2016 Wireless Telecommunications Symposium (WTS). Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Uploaded in accordance with the publisher’s self-archiving policy. |
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: | 12 Aug 2016 11:47 |
Last Modified: | 15 Apr 2017 20:04 |
Published Version: | http://dx.doi.org/10.1109/WTS.2016.7482027 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/WTS.2016.7482027 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103651 |