Design and Implementation of a Cloud Architectural System for an IoT Sensor Network

The Internet of Things (IoT) is a rapidly growing field that involves the integration of sensor devices with the internet. These sensors can be used to monitor a wide range of physical variables, such as temperature, pH, and electrical conductivity. To facilitate the use of these sensors in practical applications, there is a need for robust and scalable cloud-based systems that can handle the data generated by these devices. This thesis presents the design and implementation of a cloud architectural system for an IoT sensor network. The system includes the design of the hardware and software components required for the sensor network, as well as the integration of the sensors with the cloud platform. This solution is capable of collecting and storing data from the sensors and providing real-time analysis and visualization of the data. It consists of three main components: a sensor network, a cloud platform, and a user interface. The sensor network is built using Arduino devices that transmit the data collected by the sensors to a gateway using the popular LoRaWAN technology, which allows for long-range communication and low power consumption. The cloud platform is implemented in AWS IoT Core using Terraform, and the data is received directly from the gateway via a 4G connection. The user interface is a web-based application called Grafana, which can be accessed through a web browser. This cloud architectural system provides a reliable and scalable solution for the management of IoT sensor networks, and it can handle a large volume of data from the sensors with minimal latency, almost in real-time.