Crowdsourcing-based Low-cost Indoor Positioning Using Smartphones

Abstract

In recent years, WiFi-based indoor positioning technologies have been widely used in various scenarios. At present, most of the traditional WiFi-based schemes require pre-deployment, which is inefficiency and time-consuming. This paper proposes a crowdsourcing-based indoor positioning scheme, which uses GPS and PDR combined with signal propagation models to solve the position and propagation characteristics of WiFi access points, which effectively reduces the deployment costs compared to existing solutions. The experimental results show that the average positioning error of the scheme is 6 meters, which can meet the actual needs of indoor positioning.