Wireless Andrew: experience building a high speed, campus-wide wireless data network
MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
Analysis of a metropolitan-area wireless network
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Analysis of a campus-wide wireless network
Proceedings of the 8th annual international conference on Mobile computing and networking
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Interactive Visualization of Network Anomalous Events
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
SpatiuMedia: interacting with locations
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
Ambient Intelligence in Everyday Life
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The ability to determine the location of a mobile device is a challenge that has persistently evaded technologists. Although solutions to this problem have been extensively developed, none provide the accuracy, range, or cost-effectiveness to serve as a solution over a large urban area. The Global Positioning System (GPS) does not work well indoors or in urban environments. Infrared based systems require line-of-site, are costly to install and do not perform well in direct sunlight [1]. Cellular network-based positioning systems are limited by cell size and also do not work well indoors [23]. The list goes on. With the rise of Wireless Internet, or WiFi as it is commonly dubbed, the best infrastructure for location awareness to date has been created. WiFi is standardized, inexpensive to deploy, easy to install and a default component in a wide-range of consumer devices. These characteristics are the drivers behind WiFi's most significant trait: increasing ubiquity. By developing within the existing 802.11 infrastructure, developers can leverage WiFi to create wide-spread context-aware services.