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ICN Congestion Control for Wireless Links
RISE SICS.
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0002-8731-2482
RISE SICS.
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0003-4147-9487
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2018 (English)In: IEEE Wireless Communications and Networking Conference (WCNC) 2018, Barcelona, Spain, April 16-18 2018. / [ed] IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Information-centric networking (ICN) with its design around named-based forwarding and in-network caching holds great promises to become a key architecture for the future Internet. Still, despite its attractiveness, there are many open questions that need to be answered before wireless ICN becomes a reality, not least about its congestion control: Many of the proposed hop-by-hop congestion control schemes assume a fixed and known link capacity, something that rarely – if ever – holds true for wireless links. As a first step, this paper demonstrates that although these congestion control schemes are able to fairly well utilise the available wireless link capacity, they greatly fail to keep the link delay down. In fact, they essentially offer the same link delay as in the case with no hop-by-hop, only end- to-end, congestion control. Secondly, the paper shows that by complementing these congestion control schemes with an easy- to-implement, packet-train link estimator, we reduce the link delay to a level significantly lower than what is obtained with only end-to-end congestion control, while still being able to keep the link utilisation at a high level. 

Place, publisher, year, edition, pages
2018.
Keywords [en]
icn, information centric networks, congestion control, wireless communication, wireless networks
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65420OAI: oai:DiVA.org:kau-65420DiVA, id: diva2:1166916
Conference
IEEE Wireless Communications and Networking Conference (WCNC) 2018
Projects
Research Environment for Advancing Low Latency Internet (READY)
Funder
Knowledge FoundationAvailable from: 2017-12-17 Created: 2017-12-17 Last updated: 2018-06-04

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Hurtig, PerGrinnemo, Karl-JohanBrunström, Anna

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CiteExportLink to record
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