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Summary: SelfManagement in Chaotic Wireless Deployments
Aditya Akella Glenn Judd Srinivasan Seshan Peter Steenkiste
Carnegie Mellon University
{aditya, glennj, srini+, prs}@cs.cmu.edu
ABSTRACT
Over the past few years, wireless networking technologies
have made vast forays into our daily lives. Today, one can
find 802.11 hardware and other personal wireless technology
employed at homes, shopping malls, co#ee shops and air
ports. Presentday wireless network deployments bear two
important properties: they are unplanned, with most access
points (APs) deployed by users in a spontaneous manner,
resulting in highly variable AP densities; and they are un
managed, since manually configuring and managing a wire
less network is very complicated. We refer to such wireless
deployments as being chaotic.
In this paper, we present a study of the impact of in
terference in chaotic 802.11 deployments on endclient per
formance. First, using largescale measurement data from
several cities, we show that it is not uncommon to have tens
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