ABSTRACT
In recent years, a positioning method which utilizes wireless LAN without using GPS has attracted attention. Especially, in the case of a method which combines absolute position with a Wi-Fi radio environment in advance, the cost of operation and management becomes enormous. Therefore, by sampling Wi-Fi radio information observed at points where users stay frequently or in the long-term, a method which automates to collect and update the Wi-Fi radio information has been proposed. In the case of a long-term operating, the positioning accuracy, however, decreases because this method does not perform well in maintaining and managing samples. It cannot adapt samples to environmental changes although Wi-Fi radio signals change in case of long-term operating. Accordingly, this paper proposes a new calculation formula for improving a positioning accuracy. The formula is calculated with the weight of each base station for avoidance of ill-behaving stations. In addition, this paper also proposes the automated management system with two steps. It adapts samples to changes of Wi-Fi radio signals and a user's behavior. As a result, a positioning accuracy of the new system is higher than existing one.
- Nishio Nobuhiko, Fukuzaki Yuuki, and Azumi Takuya. Detecting wi-fi base station behavior inappropriate for positioning method in participatory sensing logs. In Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct, pages 665--672. ACM, 2013. Google ScholarDigital Library
- Sinno Jialin Pan, James T. Kwok, Qiang Yang, and Jeffrey Junfeng Pan. Adaptive localization in a dynamic wifi environment through multi-view learning. In Proceedings of the 22Nd National Conference on Artificial Intelligence - Volume 2, AAAI'07, pages 1108--1113. AAAI Press, 2007. Google ScholarDigital Library
- Yin Jie, Yang Qiang, and Lionel Ni. Adaptive temporal radio maps for indoor location estimation. In Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications, PERCOM '05, pages 85--94. IEEE Computer Society, 2005. Google ScholarDigital Library
- Jiang Yifei, Pan Xin, Li Kun, Lv Qin, Dick Robert P., Hannigan Michael, and Shang Li. Ariel: Automatic wi-fi based room fingerprinting for indoor localization. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, pages 441--450. ACM, 2012. Google ScholarDigital Library
Index Terms
- Adapting Wi-Fi samples to environmental changes automatically
Recommendations
Cross-assistive approach for PDR and Wi-Fi positioning
UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct PublicationIn indoor positioning using Wi-Fi, there is a problem that the accuracy is not stable by the occurrence of large errors. Large errors tend to occur when density of wireless LAN access points is low or the radio wave condition is unstable. Furthermore, ...
Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics
MSWiM '05: Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systemsWi-Fi based indoor location systems have been shown to be both cost-effective and accurate, since they can attain meter-level positioning accuracy by using existing Wi-Fi infrastructure in the environment. However, two major technical challenges persist ...
Improving indoor positioning precision by using received signal strength fingerprint and footprint based on weighted ambient Wi-Fi signals
Positioning is the foremost process in the location based service (LBS). With the GPS signal strength obstructed by the wall, indoor users cannot obtain their positions with the assistance from the global positioning satellites. Most of the indoor ...
Comments