Proximity-Based Access Control With BLE Communication Using Path Loss Model and MLP Prediction

Bluetooth Low Energy (BLE) is a wireless communication technology that allows for low-power, short-distance data transmission between devices. Our research presents an investigation into the potential applications of Bluetooth Low Energy (BLE) communication technology in proximity sensing and access control. The primary focus of this study is to leverage the path loss model and Multilayer Perceptron (MLP) algorithm for dynamically predicting path loss exponent variations caused by changes in environmental factors such as temperature and humidity. The experimental setup uses the Arduino Nano BLE 33 Sense and iPhone 13 Pro devices to establish wireless communication and conduct proximity detection tests. The evaluation of our technique for proximity detection is carried out in varied environments, including an anechoic chamber and a classroom. Our results demonstrate that the proposed approach can effectively identify device proximity and provide access control. The implications of these findings could be instrumental in enhancing the security and efficiency of wireless communication in a range of applications, including home automation, healthcare, and industry 4.0.