Performance analysis of outdoor localization systems based on RSS fingerprinting
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Perspectives on Cognitive Computing and Applications
International Journal of Software Science and Computational Intelligence
Information Sciences: an International Journal
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Wireless tracking analysis is useful for deploying the efficient indoor positioning system. Location Fingerprinting (LF) method uses a training dataset of Wi-Fi received signal strength (RSS) at different location to track the target. Fuzzy logic modeling can be applied to evaluate the behavior of wireless received signal strength (RSS). Previous analytical models based on LF are not sufficient for modeling spatial factors of wireless coverage. Spatial analytical model is useful for analysis of how the wireless infrastructure affecting the accuracy of positioning. The main concept of fuzzy logic is to reflect the reality of our world of experience, which is uncertain and fuzzy. In this paper, we develop a multi-layer fuzzy modeling for the wireless coverage in the huge and open area. Large scale site surveying has been used to collect RSS in 9.34 hectare campus area. The color fuzzy model allows us to visualize the spatial distribution of wireless RSS. Base on the fuzzy analytical model, we analyze the effect of existence of human's presence and large obstacle, the accuracy and efficiency of tracking system.