Advanced Internet of Things Solutions and Technologies

Dear Colleagues,

With the rapid development of wireless networks and intelligent terminals, Internet of Things-enabled technology is evolving infrastructure from conventional operations and maintenance business models to more efficient, sustainable, smart, and resilient systems. Meanwhile, artificial intelligence, edge computing, blockchain, and other advanced technologies are paving the way for the Internet of Things (IoT) ecosystem through various means, such as communication and computing protocols, services, and configurations. The IoT has the characteristics of intelligence, autonomy, and sharing. The network nodes possess a more powerful understanding, stronger environmental adaptability and self-management, and more reliable processing tasks. Currently, IoT smart applications exist in energy, home, building, water, and city environments. However, with the development of the IoT, many new challenges and opportunities have emerged. The traditional machine learning paradigm is difficult to support the implementation of IoT applications because of its poor model interpretability, beggarly model environment adaptability, and high model inference resource consumption. Simultaneously, although the traditional cloud computing architecture can meet the computing power and storage resource requirements of computationally intensive deep learning tasks, it is not suitable for IoT scenarios that are sensitive to latency, reliability, and privacy. The emergence of new technologies such as edge computing and blockchain has further increased the complexity of information security in wireless communication-enabled IoT. For this purpose, this special issue is devoted to seeking the most recent developments and research outcomes addressing the related solutions and technological aspects of the Advanced Internet of Things.

Dr. Yi Li
Guest Editor

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• network architecture and system design in IoT
• IoT and Cloud computing
• programming models for the IoT
• data management in IoT
• M2M communications in IoT
• energy efficiency of IoT
• privacy, security, and trust for IoT
• context-awareness for IoT
• modeling and simulation of large-scale IoT scenarios
• testbed, prototype, and practical systems for IoT use cases