Solution to the Technical Problems Associated with Integrating LoRA Technology into the Adaptive Radio and Transmission Power Selection System (ARTPoS) Algorithm Using the Raspberry Pi

The Internet of Things (IoT) refers to the interconnection via the Internet of physical objects, places or environments equipped with sensors and devices for collecting, transmitting and receiving data without direct human intervention. Unlike the Internet, the IoT has its own constraints, notably those linked to heterogeneity. This divergence is linked to the different protocols, technologies and algorithms implemented in these connected objects to interconnect them. It should be noted that IoT devices can communicate with each other using different protocols and dedicated M2M (Machine-to-Machine) communication technologies. The use of IoT gateways is also a common solution for interconnecting IoT devices from different networks. IoT gateways are elements of a network that enable communication between networks using various protocols. Long-range technologies such as LoRA are not integrated into the ARTPoS algorithm, mainly due to technical issues. The ARTPoS algorithm is based on specific communication and optimisation protocols that are not necessarily suited to the capabilities of LoRA, which is designed for low-energy, long-range IoT applications. Furthermore, the integration of LoRA would require significant adaptations within the structure of the algorithm, which could impact its performance and usability. In this article, we will examine the integration of LoRa technology into a Raspberry Pi, in particular in relation to the ARTPoS (Adaptive Radio and Transmission Power Selection system) algorithm for solving range problems. In this article, we noted the limitations of the ARTPoS algorithm. Although it supports several technologies (WiFi, ZigBee, BLE), ARTPoS does not yet cover all the emerging technologies, such as 5G or LoRaWAN, which limits its applicability in certain specific use cases. However, it is easier to integrate all the ARTPoS and LoRA algorithm functionalities into the Raspberry microcontroller than to work on the algorithm itself. In this article, we facilitate the improvement of the ARTPoS algorithm by integrating all its functionalities, including the integration of LoRA technology into a Raspberry in order to solve the algorithm’s range problem and we will also highlight the different protocols of the ARTPoS algorithm and LoRA to get an idea of the need to integrate a long-range protocol as mentioned above.