Exploiting causes and effects of wireless link correlation for better performance

Song Min Kim, Shuai Wang, Tian He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Contradicting the widely believed assumption of link independence, recently the phenomenon of reception correlation among nearby receivers has been revealed and exploited for varieties of protocols [3], [8], [17], [21], [23], [24]. However, despite the diversified correlation-aware designs proposed up to date, they commonly suffer from a shortcoming where link correlation is inaccurately measured, which leads them to sub-optimal performance. In this work we propose a general framework for accurate capturing of link correlation, enabling better utilization of the phenomenon for protocols lying on top of it. Our framework uses SINR (Signal to Interference plus Noise Ratio) to detect correlations, followed by modeling the correlations for in-network use. We show that our design is light-weight, both computation and storage-wise. We apply our model to opportunistic routing and network coding on a physical 802.15.4 test-bed for energy savings of 25% and 15%.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages379-387
Number of pages9
ISBN (Electronic)9781479983810
DOIs
StatePublished - Aug 21 2015
Event34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015 - Hong Kong, Hong Kong
Duration: Apr 26 2015May 1 2015

Publication series

NameProceedings - IEEE INFOCOM
Volume26
ISSN (Print)0743-166X

Other

Other34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015
CountryHong Kong
CityHong Kong
Period4/26/155/1/15

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  • Cite this

    Kim, S. M., Wang, S., & He, T. (2015). Exploiting causes and effects of wireless link correlation for better performance. In 2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015 (pp. 379-387). [7218403] (Proceedings - IEEE INFOCOM; Vol. 26). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2015.7218403