The current localization techniques heavily depend upon theGlobal Positioning System (GPS)technology. However, this technology has its limits in indoor locations. In places like malls and underground parking’s, the GPS accuracy is greatly affected. Indoor localization requires higher accuracy and thus the use of GPS is not feasible in such scenarios. Smartphones contain multiple sensors and hardware such as GPS receivers, accelerometers, and gyroscope sensors. Moreover almost all the smartphones are equipped with Bluetooth and IEEE 802.11 connectivity. This paper explores the possibility of using the IEEE 802.11 signal strength and the Bluetooth signal strength combined with the smartphone sensors of the accelerometer to determine indoor location of the user.In this project, an indoor localization technique is proposed, for a scenario in a museum environment. Moreover after estimating the position, context based information will be provided to the user.
Sourabh Khasbag : Computer Engineering, SavitribaiPhule Pune University,
Pune, Maharashtra, India
Shubhankar Ranade : Computer Engineering, SavitribaiPhule Pune University,
Pune, Maharashtra, India
Abhijeet Wani : Computer Engineering, SavitribaiPhule Pune University,
Pune, Maharashtra, India
Parth Hiralikar : Computer Engineering, SavitribaiPhule Pune University,
Pune, Maharashtra, India
Indoor localization, Smartphone,Wi-Fi, RSSI
We have studied various approaches to solve the problem of indoor positioning, and thus proposed an automated system for detecting user’s location in indoor environments. By using Bluetooth and Wi-Fi routers, we have given a combined approach for effective indoor localization. The k-NN algorithm is used to find the location of the user by using Wi-Fi routers. This is done by obtaining a trained data set, which will be used to find the area in which the user is standing.
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