Design and Implementation of Asset Tracking System based on Internet of Things

The demand for accurate and real-time indoor positioning systems with a limited margin of error is increasing day by day. However, the insufficiency of global positioning system and other outdoor positioning systems in indoor environments complicates the development of indoor tracking and positioning systems. In this paper, an indoor tracking and monitoring system has been designed using the new generation devices for the Internet of Things. By using WiFi and bluetooth low energy (BLE) signals at the same time, we developed an accurate and precise positioning system. In the developed system, we have used the NodeMCU-ESP-32 module to receive the broadcasted WiFi and BLE signals from smartphones. The NodeJS-based HTTP server combines the received information from ESPs and determines the location of the mobile device with the proposed algorithm based on the weighted average method. NodeJS server provides instant information about anchors and mobile nodes to the users over a web application. The proposed weighted average-based method can determine the real-time room-based location of the target asset with acceptable precision.