A Bluetooth-based Indoor Positioning System: a Simple and Rapid Approach

ABSTRACT In recent years, Internet of Things (IoT) applications are widely developed and adopted in many industries, such as logistics and healthcare. The growth of IoT motivates this project which aims at designing an indoor positioning method to monitor human movement in an indoor environment. Unlike other positioning methods, it is simple to apply 1-dimensional (1D) positioning result into a 2-dimensional (2D) floor plan. Moreover, this method is designed without pre-requested calibrations, and makes use of data processing techniques, such as Kalman filter and moving average, to improve the positioning accuracy. 1. INTRODUCTION This project is to study and design an indoor real-time positioning method for managing facilities and workers. Internet of Things (IoT) is a key modern technology to perform the monitoring work. The positioning method not only records which choke points they have passed through, but the real-time locations are also a piece of important information to guarantee that everyone and all equipment are working at a right place and right time. In addition, some restricted areas can be also controlled by ensuring no unauthorized entrance. IoT is a unique tailored interconnection system to link between embedded computing devices and internet infrastructure. There are many different technologies involved to develop an IoT network. Radio Frequency Identification (RFID) is one of the popular technologies to ‘tag’ objects in order to perform a track-and-trace function in various industries, such as supply chain and healthcare industries.