Poster Abstract: IoT enabled Wi-Fi Indoor Positioning System using raster maps

In the context of enabling location-based services in complex indoor environments using ubiquitous resources, this study presents a Wi-Fi-based Indoor Positioning System(IPS) which does not require any laborious and time-consuming effort in contrast to Wi-Fi fingerprinting which requires in its offline database calibration phase. The proposed system is an effortless approach in which radio maps are built automatically using online feedback of Wi-Fi enabled the Internet of Things (IoT) sensors. The results show that it is possible to achieve an accuracy of 2 meters by constructing radio maps of Wi-Fi environment using online feedback of loT sensors in combination with the raster floor plan of the environment.