Self-organizing maps
Challenges in Location-Aware Computing
IEEE Pervasive Computing
Radial Basis Functions
Multivariate Analysis for Probabilistic WLAN Location Determination Systems
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
On profiling mobility and predicting locations of wireless users
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
RSS-Based Location Estimation with Unknown Pathloss Model
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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Location aware computing is a new field of research that advocates the development applications for mobile computing platforms that allow users to make use of the mobile data access that wireless communications provide and take advantage of the location context of data. However, the deployment of location aware computing has been limited by the lack of accurate, low cost wireless terminal location methods. This paper introduces a non-parametric method for locating wireless terminals where the location estimates are weighted averages of the positions of survey points within the network environment. The weights are determined by the amount of similarity between the received signal strengths measurements made by the wireless terminal and the measurements made at the survey point locations. This paper demonstrates how to tune this algorithm based on the survey data without requiring an excessive number of survey points to be collected in the network area.