Applications of Sensors Based on Embedded Systems

Dear Colleagues,

In the field of sensors applied to the edge, non-functional constraints such as execution time, memory capacity, and energy consumption are a significant challenge for designers of embedded systems. New applications are being proposed that integrate an increasing variety of functionality into everyday objects, imposing several additional requirements on embedded system designers, as follows:

• Increased computing workloads, elaborating and fusing multiple sensor data, even by advanced machine learning techniques;
• Reduced power consumption, allowing for smaller batteries and renewable power sources;
• Faster interaction with the environment, necessitating a high performance in data processing that is often reached by hardware implementations.

As an example, the physical dimensions and power consumption of embedded sensors for the Internet of Things are frequently of interest. However, the need for small systems does not prevent higher demands for functionality and speed. Simultaneously, designers must respond to a growing need for more powerful edge systems capable of managing vast fleets of connected devices while running resource-intensive algorithms such as sensor fusion, feedback control, and machine learning. Developers must grasp the nature of embedded systems architectures and strategies for extracting their full performance potential in this environment, as well as embedded design in general.

This Special Issue invites researchers to contribute original research, case studies, and reviews that address topics related to designs and applications of sensors that are based on embedded systems.

Dr. Sergio Spanò
Dr. Luca Di Nunzio
Guest Editors

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• applications of sensors to low-power IoT systems
• FPGA and SoC processing for sensors data
• microcontrollers processing for sensors data
• embedded GPU processing for sensors data
• ASIC processing for sensors data
• machine learning on the Edge
• efficient sensors data-processing algorithms