Indoor Positioning Prediction in Dark Spaces without the Assistance of Wearable Devices

摘要

In the previous works, in our laboratory, we made IoT(Internet of things) devices using Arduino MCU chips tocollect sensors data via mobile phones to sink servers asshown in Fig. 1. Also, we made an automobile car todetect warm bodies in dark spaces (rooms) without cameraas shown in Fig. 2. Further, this automobile car we madecan be controlled by smart phones and track movingobjects. Then, here, we try to detect moving objectswithout sensor rings, wearable devices, cameras andautomobile cars.In recent years, wireless sensor network applications arequite extensive. When the moving object appears withinthe sensing range of the deployment, the dBm of thewireless base station will be slightly reduced or droppedsignificantly. The purpose of this paper, is to determinewhether the signal strength (dBm) changes when theobject moves within the range of the subordinate. to seewhat is the different of signal strength.