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TitleOffloading surrogates characterization via mobile crowdsensing
Author(s)Lima, Emanuel
Aguiar, Ana
Carvalho, Paulo
Issue date2017
PublisherAssociation for Computing Machinery (ACM)
Abstract(s)This paper uses data mining of a mobile crowdsensed dataset of passive WiFi scans to define attributes that can characterize a chaotic WiFi deployment with respect to offloading opportunities. Besides indicators of signal quality, we define indicators of contact windows and contact opportunities with an Access Point (AP). We apply k-means clustering to identify classes of APs, and observe that interference metrics are more relevant than plain RSSI; that contact window metrics can be estimated using only APs’ coverage data; and that popularity and importance can characterize APs whether the offloading targets many or only a few users.
TypeConference paper
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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