Bluetooth and WAP push based location-aware mobile advertising system

By Lauri Aalto, Nicklas Göthlin, J. Korhonen, Timo Ojala. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2004

348 citations recorded by the source corpus.

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NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, background): “The ability to predict future locations of people allows for a rich set of novel pervasive applications and systems: accurate content dissemination of location related information such as advertisement, leisure events reports and notifications [20, 1 ] could be implemented in a more effective way, ”
Energy-efficient rate-adaptive GPS-based positioning for smartphones (2010, background): “positioning in tunnels, subways, or for advertisements in shopping malls [2]).”
Accurate GSM Indoor Localization (2005, background): “Most research on indoor localization systems has been based on the use of short-range signals, such as WiFi [3,5,11], Bluetooth [1], ultra sound [15], or infrared [16].”
Indoor Positioning Technologies (2012, background): “Reading RSSI for an unmodified standard Bluetooth device is not in option either, since the host controller command for reading the received signal strength values is not implemented by default (Aalto et al. 2004).”
Energy-accuracy trade-off for continuous mobile device location (2010, neutral): “Bluetooth: For Bluetooth, location is based on finding at least one static Bluetooth device in radio range (a computer mouse in an office, a Bluetooth advertisement device in a shopping mall [1], etc.”