Real-Time and Networked Embedded Systems in Environment and Human Health Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 421
Special Issue Editors
Interests: wireless sensor networks; networked embedded systems; energy-aware algorithms; machine learning; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks; machine learning; internet of things; embedded devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Embedded systems are increasingly deployed in networks thanks to ubiquitous connectivity capabilities. The resulting networked embedded systems offer unprecedented potentialities in terms of novel functionalities and solutions in many application landscapes, such as in environmental or healthcare domains.
The availability of reliable real-time networked embedded systems represents a crucial step towards interfacing the physical and the digital world, for tackling many relevant societal problems. However, the design of these systems raises several research challenges which are related to the complex interplay between the tight energy, computational and communication requirements of devices, the strict real-time constraints and the distributed features of protocols and applications. These issues need to be carefully addressed through the development of innovative methodologies, algorithmic approaches, and technologies in order to build effective solutions.
Within this context, this Special Issue aims at receiving contributions representing advancements in research on real-time and networked embedded systems, with particular reference to environmental and healthcare applications. Potential topics of interest include (but are not limited to):
- Real-time sensor networks for environment and healthcare;
- Protocols for real-time communication, sensing and actuation;
- Edge and fog computing for real-time networked embedded systems ;
- Modelling, simulation, and optimization for system-level design of networked embedded systems;
- Ultra-low-power networked embedded platforms and applications;
- Techniques and algorithms for energy-aware systems with support to energy harvesting, battery-less IoT systems;
- Wearable sensor networks for biomedical applications;
- Sensing for environmental monitoring applications;
- Machine learning on the edge in networked embedded systems;
- Applications and use cases of real-time and networked embedded systems in environment and human healthcare.
Dr. Valerio Freschi
Dr. Emanuele Lattanzi
Guest Editors
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Keywords
- real-time
- networked embedded systems
- sensor networks
- low power
- embedded systems for healthcare applications
- embedded systems for environmental sensing applications
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