Programming with Microsoft Visual Basic 6.0: Enhanced Edition
Programming with Microsoft Visual Basic 6.0: Enhanced Edition
Wireless LAN Systems
Robust methods for AOA geo-location in a real-time indoor WiFi system
Journal of Location Based Services
Rule-Based WiFi Localization Methods
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 01
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
WiFi Localization System Using Fuzzy Rule-Based Classification
Computer Aided Systems Theory - EUROCAST 2009
Future of Google Earth
Location sensing and privacy in a context-aware computing environment
IEEE Wireless Communications
A Real-Time Indoor WiFi Localization System Utilizing Smart Antennas
IEEE Transactions on Consumer Electronics
IEEE 802.11 Wireless Local Area Networks
IEEE Communications Magazine
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There are many applications such as security, medical and rescue operations, sports events, and so on where one may need to find out the exact location of a transmitting wireless local area network (WiFi or WLAN) access point. In this paper, we look at the design of an outdoor WiFi localization system based on a GPS. This system utilizes a rotating unidirectional multi-element Yagi type unidirectional antenna to determine in real-time the direction of the maximum signal strength from a WiFi access point. This information is combined with the GPS co-ordinates of the measurement points to triangulate and find the exact co-ordinates of the access point. These co-ordinates are then transferred to the Google Earth application to automatically pin-point the access point on a world map. This is a novel application where once the user has issued the relevant command, the software will perform all necessary steps without interaction. This includes controlling the hardware, obtaining readings, performing calculations, and showing the location determined on a map. We present the theory and experimental results to illustrate the performance and accuracy of our outdoor localization system.