Submission Deadline: 28 February 2021 (closed)
The evolution of computing in future networks presents new exploration areas for industry practitioners and academic researchers. The development and deployment of intelligence computing is paving the way for the Internet of Things (IoT) paradigm. Artificial intelligence and machine learning approaches to intelligent computing have led to energy-efficient solutions at different levels and layers such as data processing, resource optimization, and analytics. The implementation of computational services using various ubiquitous computing models constitute conventional methodologies as well as modern state-of-the-art systems and global networking infrastructure.
Technologies such as edge computing, fog computing, information-centric network, and content-centric networks address communication and networking issues for ambient intelligence and applications. With a broad direction of IoT, from smart cities to smart industry, computational intelligence and development need attention; especially dealing with challenges relating to scalable computing, resource optimization, low energy consumption, robust network architecture, and other ubiquitous intelligence.
The special issue focusses on the models and designs of energy-efficient intelligent computing systems along with its state-of-art architecture, methodologies, and computational resource optimization for IoT. Further, the special issue will also focus on the theory and research practices of neural networks, deep learning, and big data analytics for the physical layer in IoT applications. The business and managerial implications of such systems and architecture are also of interest.
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