MilNova: An approach to the IoT solution based on model-driven engineering for the military health monitoring
Rolando P. Reyes Ch., Hugo Pérez Vaca, Darwin Manolo Paredes Calderón, Luis Alvaro Montoya-Santiyanes, Wilbert G. Aguilar · 2017
In 2015, Zheng & Carter warned that the Internet of Things (IoT) would have an exponential deployment in all types of industry in order to improve the efficiency and effectiveness of its operations. In the military sphere, it has not been different. The Ecuadorian Armed Forces are trying to equip their soldiers with IoT Technology to monitor and visualize in real time the state of health during combat missions. However, the implementation and research, at least in Ecuador; has been very complex due to two problems: (1) organization in the design and the integration of the components and applications when participate several researchers and engineers of multiple disciplines (e.g, control, software) and (2) the complex implementation due to the technological fragmentation between the military contexts (e.g., air force, army and navy). We propose an approach to the solution to the implementation of real-time military health monitoring in combat missions, using the Model-Driven Engineering (MDE) paradigm and the research model proposed by Takeuchi & Nonaka. We were able to obtain a meta-model delineated in the 4 domains of the IoT Technology embedded within the 4 contexts of a product line process. The meta-model has solved the problem associated with implementation as a product line while had increasing the comprehensibility between researchers and engineers.