Spring Model Based Collaborative Indoor Position Estimation With Neighbor Mobile Devices

Nowadays, as the widespread of smart-phones that equipped with Wi-Fi modules, many researchers have studied Wi-Fi based indoor positioning techniques. The existing method makes use of the Wi-Fi received signal strength (RSS) information that collected from several places indoors in advance to estimate the position of a mobile device by referring to a fingerprinting algorithm. Based on the existing method, this paper addresses a high-precision collaborative indoor positioning method. We first estimate the position coordinates of neighbor mobile devices and the distances between the devices by using the Wi-Fi and Bluetooth sensors on them. Then, by making use of the position and distance information, we utilize the spring model to correct the positioning errors. In addition, we performed the evaluation experiment in a real indoor environment, and confirmed the feasibility of our proposed method.