Nonintrusive estimation of expected throughput for IEEE 802.11 devices

Jung Han Han, Seung Jae Han

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

1 Citation (Scopus)

Abstract

Knowing the available throughput of the IEEE 802.11 link is highly beneficial. One use case of such information is the selection of an Access Point (AP) that will provide highest throughput. In this paper, we present a scheme for non-intrusive estimation of expected throughput of an 802.11 device. The proposed scheme does not require any aid from the infrastructure (e.g., AP) and does not create any additional traffic overhead (e.g., probe traffic). Our scheme relies on passive sniffing of the ongoing traffic for short duration (typically less than a second). Via sniffing, we obtain necessary parameters for throughput estimation, such as the collision probability. We have implemented our scheme in Linux system and Android smartphone. Experimental evaluation shows that our scheme accurately estimates expected throughput in various experiment settings.

Original languageEnglish
Title of host publication2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
PublisherIEEE Computer Society
Pages275-280
Number of pages6
ISBN (Print)9781479923557
DOIs
Publication statusPublished - 2014
Event2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Publication series

Name2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014

Other

Other2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Han, J. H., & Han, S. J. (2014). Nonintrusive estimation of expected throughput for IEEE 802.11 devices. In 2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014 (pp. 275-280). [6866583] (2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014). IEEE Computer Society. https://doi.org/10.1109/CCNC.2014.6866583