The evolution of the Internet of Things (IoT) is changing the nature of edge-computing devices. End nodes have to support, in place, an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. These new capabilities will enable disruptive innovation in wearable and implantable biomedical devices, autonomous insect-sized drones, autonomous smart environmental sensing, safety-critical real-time applications and structural health monitoring, and more. For this special issue, we are seeking contributions on IoT smart edge-computing architectures, systems, and related hardware-software design approaches. Topics of interest include, but are not limited to:
-Hardware-software design approaches for smart edge processing
-Heterogeneous systems-on-chip and architecture for energy-efficient smart edge processing
-Low-power analog and mixed signal computing, in-memory computing, and in-sensor computing
-Edge machine-learning architectures dealing with sensor and signal variabilities
-Neuro-symbolic and brain- and bio-inspired computing paradigms for edge processing
-IO and peripherals for energy-efficient interfaces in edge-computing systems
-Edge processing for biomedical IoT systems and human-machine interaction
-Smart edge IoT devices for structural health monitoring and predictive maintenance
-Real-time and safety-critical smart edge sensors for industrial IoT