Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Handling Inherent Delays in Virtual IoT Gateways
RISE SICS, Stockholm, Sweden..
RISE SICS, Stockholm, Sweden..
RISE SICS, Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.
Show others and affiliations
2019 (English)In: 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), IEEE , 2019, p. 58-65Conference paper, Published paper (Refereed)
Abstract [en]

Massive deployment of diverse ultra-low power wireless devices in different application areas has given rise to a plethora of heterogeneous architectures and communication protocols. It is challenging to provide convergent access to these miscellaneous collections of communicating devices. In this paper, we propose VGATE, an edge-based virtualized IoT gateway for bringing these devices together in a single framework using SDRs as technology-agnostic radioheads. SDR platforms, however, suffer from large unpredictable delays. We design a GNU Radio-based IEEE 802.15.4 experimental setup using LimeSDR, where the data path is time-stamped at various points of interest to get a comprehensive understanding of the characteristics of the delays. Our analysis shows that GNU Radio processing and LimeSDR buffering delays are the major delays. We decrease the LimeSDR buffering delay by decreasing the USB transfer size but show that this comes at the cost of increased processing overhead. We modify the USB transfer packet size to investigate which USB transfer size provides the best balance between buffering delay and processing overhead across two different host computers. Our experiments show that for the best measured configuration the mean and jitter of latency decreases by 37% and 40% respectively for the host computer with higher processing resources. We also show that the throughput is not affected by these modifications.

Place, publisher, year, edition, pages
IEEE , 2019. p. 58-65
Series
IEEE International Conference on Distributed Computing in Sensor Systems, ISSN 2325-2936
Keywords [en]
Software Radio, Edge Computing, Internet of Things, RAN Virtualization, IEEE 802.15.4
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-266440DOI: 10.1109/DCOSS.2019.00031ISI: 000502738800008Scopus ID: 2-s2.0-85071950502ISBN: 978-1-7281-0570-3 (electronic)ISBN: 978-1-7281-0571-0 (print)OAI: oai:DiVA.org:kth-266440DiVA, id: diva2:1385653
Conference
15th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS), MAY 29-31, 2019, Santorini Island, Greece
Note

QC 20200115

Available from: 2020-01-15 Created: 2020-01-15 Last updated: 2020-01-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopusConference websiteConference proceedings

Authority records BETA

Wang, Peng

Search in DiVA

By author/editor
Wang, Peng
By organisation
Communication Systems, CoS
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 12 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf