Sensors

Sensors provide valuable data about physical magnitudes and environmental phenomena. However, the translation of these data into concrete actions requires processing the inputs that may come from one or many types of sensors, including sensor networks. Such processing can benefit from Artificial Intelligence (AI), and the use of machine learning, neural networks (including deep architectures), and information fusion methods have been common in this field. Currently, these concepts can be applied in different IoT architectures, where there are sensor and actuator nodes that communicate and create the networks. These types of networks tend to be autonomous networks that adapt to several conditions, creating smart IoT networks.