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
TIIM: Technology-independent interference mitigation for low-power Wireless Networks
ETH Zurich, Switzerland.
ETH Zurich, Switzerland.
RISE, Swedish ICT.
2015 (English)In: IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), Association for Computing Machinery, Inc , 2015, p. 1-12Conference paper, Published paper (Refereed)
Abstract [en]

The rise of heterogeneity in wireless technologies operating in the unlicensed bands has been shown to adversely affect the performance of low-power wireless networks. Cross-Technology Interference (CTI) is highly uncertain and raises the need for agile methods that assess the channel conditions and apply actions maximizing communication success. In this paper, we present TIIM, a lightweight Technology-Independent Interference Mitigation solution that detects, quantifies, and reacts to CTI in realtime. TIIM employs a lightweight machine learning classifier to (i) decide whether communication is viable over the interfered link, (ii) characterize the ambient conditions and apply the best coexistence mitigation strategy. We present an in-depth experimental characterization of the effect of CTI on 802.15.4 links, which motivated and influenced the design of TIIM. Our evaluation shows that TIIM, while exposed to extensive and heterogeneous interference, can achieve a total PRR improvement of 30% with an additional transmission overhead of 5.6%.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2015. p. 1-12
Keywords [en]
802.15.4, Cross-technology interference, Interference mitigation, Machine learning, Artificial intelligence, Information science, Learning systems, Low power electronics, Sensor networks, Wireless networks, Wireless telecommunication systems, Experimental characterization, Heterogeneous interferences, Lightweight technology, Low power wireless networks, Technology independent, Transmission overheads, Interference suppression
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-43906DOI: 10.1145/2737095.2737104Scopus ID: 2-s2.0-84954091814ISBN: 9781450334754 (print)OAI: oai:DiVA.org:ri-43906DiVA, id: diva2:1393473
Conference
14th International Symposium on Information Processing in Sensor Networks, IPSN 2015, 13 April 2015 through 16 April 2015
Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-02-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus
By organisation
Swedish ICT
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
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
v. 2.35.9