Estimating link reliability in wireless networks: An empirical study and interference modeling

Shinuk Woo, Hwangnam Kim

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

12 Citations (Scopus)

Abstract

Recently, it has been received in the community that the link reliability is strongly related to RSSI (or SINR) and the external interference makes it unpredictable, but the unpredictability has not been fully explained yet. In order to examine the causes of the unpredictable link state, we first configured an empirical testbed, performed a measurement study, and observed that the link reliability actually depends on an intra-frame SINR distribution. We also discovered that a RSSI (or SINR) value is not always a good indicator to estimate the link state. Based on these results, we propose a modeling framework for estimating the link state in the presence of the wireless interference. We vision that the framework can be used for developing link-aware protocols to achieve their optimal performance in a hostile wireless environment.

Original languageEnglish
Title of host publicationProceedings - IEEE INFOCOM
DOIs
Publication statusPublished - 2010 Jun 15
EventIEEE INFOCOM 2010 - San Diego, CA, United States
Duration: 2010 Mar 142010 Mar 19

Other

OtherIEEE INFOCOM 2010
CountryUnited States
CitySan Diego, CA
Period10/3/1410/3/19

Fingerprint

Wireless networks
Testbeds
Telecommunication links
Network protocols

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Estimating link reliability in wireless networks : An empirical study and interference modeling. / Woo, Shinuk; Kim, Hwangnam.

Proceedings - IEEE INFOCOM. 2010. 5462250.

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

Woo, S & Kim, H 2010, Estimating link reliability in wireless networks: An empirical study and interference modeling. in Proceedings - IEEE INFOCOM., 5462250, IEEE INFOCOM 2010, San Diego, CA, United States, 10/3/14. https://doi.org/10.1109/INFCOM.2010.5462250
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