Dear Colleagues,

The emerging phenomenon of the next-generation Internet of Everything via recent advances in deep learning algorithms and low-energy footprints has revolutionized the industry and the way that humans interact and exchange information with things, and controllers. Advancements in low-energy communication technologies and IoT applications in everyday life have led to the development of intelligent control and management processes. Focusing mainly on conservation of resources and efficiency, such processes also offer smart automated incident management, industrial preventive maintenance, decision-supportive actions, autonomous integration of software, sensors and control processes, as well as capabilities of sophisticated machine learning, prediction, and response.

Examples of such systems include intelligent automotive and transportation systems, augmented reality-capable systems, industry facility management systems, low-power systems and services for smart homes, smart city accommodations, smart grids, smart healthcare systems, intelligent industrial monitoring systems, industrial resource conservation practices, smart power plants, and low-power real-time/haptic control systems. Bringing together data mining/deep learning techniques, IoT communication protocols and low-energy/resource conservation in the industry and cities will ensure safe, efficient, and secure management processes that can have great societal and economic impacts.

This Special Issue will promote state-of-the-art research covering all aspects of the design, implementation, and testing of intelligent, low-power IoT systems and applications that include smart algorithms or management processes or exploit augmented and interactive control interfaces. High-quality contributions addressing related theoretical and practical aspects are expected. The topics of interest for this Special Issue include but are not limited to:

• Modeling, analysis, simulation, and verification of intelligent management systems and low-power IoT applications;
• Cyber-physical systems, Internet of Things, embedded security, embedded smart algorithms, and autonomous decision support systems;
• Design and evaluation of embedded systems–services implementing deep learning algorithms;
• Hardware and software co-design of intelligent IoT management systems solutions for the industry and smart cities;
• IoT prototype infrastructure protocols and algorithms;
• Detection, evaluation, and prevention of threats and attacks in public IoT systems;
• Data security, privacy, and trustworthiness of communication mechanisms–protocols in IoT systems;
• Machine learning or deep-learning-based solutions for industrial processes and smart cities;
• Industry scaled trustworthy smart systems and smart production systems focusing on resource conservation;
• Augmented reality systems and applications for smart cities and the industry ;
• Medical systems and services offering smart solutions and ubiquitous healthcare information systems;
• Cloud, fog, and edge computing and new communication protocols for intelligent management and control operations;
• Interactive low-energy control protocols and haptic interfaces supporting management processes;
• Incident response management systems and smart facility management processes;
• Mass notification systems;
• Distributed sensory systems and distributed control systems monitoring and supporting public services;
• Secure and intelligent design of smart grid, mobile and automotive systems and applications for smart cities.

Dr. Sotirios Kontogiannis
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• IoT
• Distributed management systems
• Industry 4.0
• Smart cities
• Incident response systems
• Deep learning algorithms
• Smart control systems and processes
• Interactive systems
• IoT protocols
• IoT systems security
• IoT data management