Designing and Development of Bluetooth Based Mesh Network Logger

Abstract

Across the world, numerous time synchronization systems are being developed for large data networks, enabling the delivery of highly precise time down to sub-second intervals. This thesis discusses the integration of Bluetooth Low Energy (BLE) technology with sensors and cloud platforms to enable efficient data communication and storage. BLE has gained popularity due to its low power consumption and low cost, making it a suitable option for battery-powered IoT devices. Sensors equipped with BLE can communicate data to a nearby gateway, which in turn sends the data to the cloud for storage and analysis. This enables real-time monitoring and remote management of IoT devices. The paper also explores cloud platform that can be used to store, manage, and analyze the data collected from the sensors. A prototype system was developed to demonstrate the integration of BLE sensors with a cloud platform. The results show that BLE is a viable option for IoT device communication, and cloud platforms provide an efficient solution for storing and analyzing large amounts of sensor data. The study also involved long-term tests to collect data on Bluetooth low energy mesh characteristics, with an algorithm developed to determine signal travel time within the mesh network.