A wireless LAN-based indoor positioning technology
IBM Journal of Research and Development
Extracting places from traces of locations
ACM SIGMOBILE Mobile Computing and Communications Review
An Adaptive Two-Phase Approach to WiFi Location Sensing
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Refining WiFi Indoor Positioning Renders Pertinent Deploying Location-Based Multimedia Guide
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Spatial inference using networks of RFID receiver: a Bayesian approach
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Self-localization using fixations as landmarks
Proceedings of the Symposium on Eye Tracking Research and Applications
Locanyms: towards privacy-preserving location-based services
Proceedings of the 1st European Workshop on AppRoaches to MObiquiTous Resilience
| Hi-index | 0.00 |
Due to the proliferation of WiFi access points, indoor localization methods based on WiFi signal strengths are becoming more and more attractive because they don't require additional infrastructural costs beyond the existing WiFi infrastructure. Many research projects were proposed based on this approach, but most of them only focused on the processing of the signal strength data to obtain the user locations. Very little attention was paid to the mobility patterns of the users. In this paper, we propose a method based on (i) knowing the floor model, (ii) continual tracking of user locations and (iii) back-tracking from the current location to previous locations to resolve localization ambiguities. We implemented the system in a life environment and performed experiments to measure the localization accuracies. We found that our method identified all test paths accurately with the exception of a challenging case where two locations were connected together with a thin wall. We discuss ways to handle this situation.