Embedded systems for mobile sensors

In the era of IoT, embedded systems based on mobile sensor ideas turn into increasingly compound and need understanding in various training tools such as signal processing, artificial intelligence, and multimedia communication. After a long period of computational capacity centralization, we are facing a period where the computation capacity is migrating back to the periphery of the systems and then to smart objects and sensors. Currently IoT is constituted of computationally heterogeneous devices for which the ability of executing preelaborations or complete processing is fundamental as well as the ability of doing them, keeping low power consumptions and maintaining a certain level of security. The combination of signal processing techniques for embedded systems is a principal and timely research in mobile sensors and communications. The articles contained in the present issue include both reviews and basic scientific studies focused on mobile multimedia communication using fundamental or applied signal processing methods for embedded systems and applications of IoT. This issue comprises the description of streams processing (e.g., images, video, and audio) for embedded systems involved in IoT as mobile sensors/aggregators including preprocessing for signal quality enhancement (e.g., images, noise reduction), security concerns (e.g., privacy), and evolution of communication protocols and mobile sensor network architectures