Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
CrossZig: Combating Cross-Technology Interference in Low-power Wireless Networks
Show others and affiliations
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Low-power wireless devices suffer notoriously from Cross- Technology Interference (CTI). To enable co-existence, researchers have proposed a variety of interference mitigation strategies. Existing solutions, however, are designed to work with the limitations of currently available radio chips. In this paper, we investigate how to exploit physical layer properties of 802.15.4 signals to better address CTI. We present CrossZig, a cross-layer solution that takes advantage of physical layer information and processing to improve low-power communication under CTI. To this end, CrossZig utilizes physical layer information to detect presence of CTI in a corrupted packet and to apply an adaptive packet recovery which incorporates a novel cross-layer based packet merging and an adaptive FEC coding. We implement a prototype of CrossZig for the low-power IEEE 802.15.4 in a software-defined radio platform. We show the adaptability and the performance gain of CrossZig through experimental evaluation considering both micro-benchmarking and system performance under various interference patterns. Our results demonstrate that CrossZig can achieve a high accuracy in error localization (94.3% accuracy) and interference type identification (less than 5% error rate for SINR ranges below 3 dB). Moreover, our system shows consistent performance improvements under interference from various interfering technologies.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Interference, Physical layer, IEEE 802.15 Standard, Wireless communication, Wireless sensor networks, Signal to noise ratio, Diversity reception
National Category
Computer Science
Identifiers
URN: urn:nbn:se:ri:diva-26212DOI: 10.1109/IPSN.2016.7460663OAI: oai:DiVA.org:ri-26212DiVA: diva2:1050934
Conference
2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, Vienna, Austria, 11-14 April 2016
Available from: 2016-11-30 Created: 2016-11-30 Last updated: 2017-04-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://ieeexplore.ieee.org/document/7460663/

Search in DiVA

By author/editor
Duquennoy, Simon
By organisation
Computer Systems Laboratory
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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. 2.27.0