A highly scalable bandwidth estimation of commercial hotspot access points

Xinyu Xing, Jianxun Dang, Shivakant Mishra, Xue Liu

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

15 Scopus citations


WiFi access points that provide Internet access to users have been steadily increasing in urban areas. Different access points differ from one another in terms of services that they provide, including available upstream and downstream bandwidths, overall network capacity, open/blocked ports, security features, and so on. However, there is no reliable service available at present that can aid a user in selecting an access point from the many that are available. The primary research challenge is how to accurately estimate the current backhaul bandwidth of different access points in an efficient manner without requiring any installation of special software on the access points, and not burdening the WiFi subscribers to perform any communication or computation intensive task. This paper presents a new highly scalable bandwidth estimation technique that is suitable for efficiently estimating the backhaul bandwidth of a large number of APs. This technique has been extensively evaluated via a prototype implementation in an indoor testbed and in the Amazon EC2 platform. The evaluation demonstrates that the proposed technique exhibits high measurement accuracy, low latency, high scalability, and minimal intrusiveness.

Original languageEnglish (US)
Title of host publication2011 Proceedings IEEE INFOCOM
Number of pages9
StatePublished - 2011
EventIEEE INFOCOM 2011 - Shanghai, China
Duration: Apr 10 2011Apr 15 2011

Publication series

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



All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


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