Marco de evaluación para la óptima selección de componentes de hardware para sistemas del Internet de las cosas

Abstract

The selection of hardware components is crucial in the design of Internet of Things solutions, as it directly impacts their performance, cost, and scalability. The wide variety of available development boards, sensors, and peripherals complicates the selection process, given that each component has distinct characteristics. This paper proposes a systematic framework for hardware selection in Internet of Things systems, utilizing an approach based on the objective identification of key criteria such as energy efficiency, cost, reliability, and ease of integration. The framework was applied in a case study to design a sensor node for precision agriculture aimed at monitoring soil temperature and humidity. The results demonstrate that the framework streamlines decision-making, ensuring the selection of components aligned with project requirements while enhancing the quality of Internet of Things system designs.