IoT Protocols and Algorithms in the Era of IoE

Dear Colleagues,

Next evolution of IoT, IoE extends to not only things and data acquisition, but how to apply data analytics so that it can impact processes and decision making. Internet of Everything currently incorporates the leading recent advances in deep learning algorithms, data mining as well as intelligent control and process management. This ability to transform data into valuable knowledge has significant added value for the industry and people in general.

IoE big data processing and computation requires significant cloud computing and storage resources. Therefore, the deployment of Edge servers and devices that have computing capabilities, demand new protocols and functional frameworks to handle computations. Focusing on conservation of computational resources and efficiency, next generations of IoT services will provide new methodologies and cloud protocols of low cloud computational footprint to the development of new smart protocols, real-time service functionalities with predictive measures, and recommendations. 

Additionally, IoT low energy protocol footprints have revolutionized the industry and the way that humans interact and exchange information with things, and controllers. These advancements in low energy communication technologies and IoT applications in everyday life can be incorporated into agnostic application services that offer medium communication transparency via representational state transfers and middleware protocols via the Web of Things. 

Having also strong security authentication and anonymity in mind where applicable, this special issue will promote the state-of-the-art research covering all aspects of IoE from sensory data exchange and storage, down to the decision and process level, 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 algorithms 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 IoT solutions implementing deep learning algorithms. 
• Hardware and software co-design of intelligent IoT management systems-solutions for the industry, agriculture, society, and smart cities.
• IoT prototype infrastructures 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.
• Frameworks and models of smart systems and smart production systems focusing on computational resources conservation.
• Cloud, fog, and edge computing and new communication protocols for intelligent management and control operations.
• Interactive low energy control protocols and middleware IoT protocols and services supporting decision and management processes.
• Distributed sensory architectures and detection algorithms monitoring and supporting IoT services.
• Communication protocols, tele-operations, Tele-robotics 

Dr. Sotirios Kontogiannis
Dr. George Kokkonis
Guest Editors

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• IoT
• IoE
• Web of Things
• Distributed computation
• smart algorithms
• decision support systems and services
• knowledge mining algorithms for specific applications
• deep learning algorithms
• smart control systems and processes
• Interactive systems
• Edge computing, Cloud computing
• IoT protocols
• IoT systems security
• IoT data management
• Haptics
• Tele-robotics
• Tele-operations
• 5G communications