## 6 Conclusions  
Wireless AloT technologies introduce flexibility, rapid deployment, ease of reconfiguration and scalability in industrial domains. However, some domains, such as aeronautics, have not yet embraced these technologies as a standard practice. In some cases, such as testing of aeronautical components, this is due to the strict requirements that aviation authorities impose in order to ensure the safety of all components of an aircraft when in operation. This study analyzes the requirements of aeronautical structural testing of components and discusses the benefits and feasibility of using AloT applications. Structural tests, although densely instrumented, typically use low frequencies to acquire the parameters used in the certification tests. This article proposes an architecture and some guidelines for its correct implementation. The presented architecture distributes the services of this kind of application in the three layers frequently used in AloT applications: Edge, Fog and Cloud. Two major consequences arise from the current work: it expands the use of AloT technologies in the aeronautical sector, which lags behind in their adoption. Also, the presented approach may inspire the application of these technologies in other application domains, highly regulated. In order to prove its viability, the article presents an implementation in a real scenario. Thus, the architecture was validated experimentally in the certification test of one component, namely, a flag track component of the Embraer E2 model aircraft. In the validation prototype, ad hoc sensor prototype devices and standard communication technologies were used, such as WiFi and TCP/IP technologies. The MQTT communication protocol was also used to implement the communication between the Edge and Fog layers, due to its versatility and simplicity. The recorded data were compared with the data acquired by means of conventional wired equipment used in aeronautical tests, in terms of the quality of information and compliance with the requirements of aeronautical regulations. Finally, in order to illustrate the integration of different algorithms in the AloT architecture, ARIMA and LSTM algorithms were selected to analyze the data acquired by the IoT devices in real time. The obtained results proved the technical feasibility of using AloT technologies to complement and, occasionally, replace conventional technologies used in the structural testing of aeronautical components. Thus, this study confirms the capacity of AloT technologies to meet the high level of measurement accuracy and robustness required by the aeronautical authorities. In addition, it proves the great advantages that these technologies provide, including a drastic reduction in consumables, such as cables and connectors, and simple and fast start-up and scalability. Also, the presented approach paves the way to introduce advanced data analysis techniques based on artificial intelligence algorithms. For these reasons, the authors conclude that the presented approach may improve test efficiency and increase the competitiveness of aeronautical testing laboratories. However, the proposed approach presents some limitations that should be addressed in future research tasks. One limitation may appear when it is necessary to measure and transfer large volumes of data at high frequencies. The limitation of the QoS of the selected wireless technologies may be influenced by limiting the sampling period, while maintaining data quality, robustness, and scalability remains a significant challenge today. The evolution of communication technologies and the introduction of new standards, such as WiFi 7, or specific wireless measurement technologies aimed at industrial applications,such as WirelessHart and ZigBee, may help to solve this limitation of the presented work. Also, the introduction of cybersecurity measures in the AloT architecture is challenging, since in most cases, test engineers are not experts in cybersecurity.