To leverage the enormous potential market value of networked things, the current phase of technological innovation has been driven by connecting and comprehending items rather than users. For instance, a vast number of sensors and video cameras are dispersed throughout the city to collect various forms of data. For enhanced service delivery, the detected data is transmitted through the Internet to control centers in various administrative sectors or vertical enterprises. The trend above requires the support of IoT over a variety of wireless networks, including 5G/6G, WiFi-7/8, etc.
In wireless networks, we have brought in the concept of Intelligent IoT, which may enable new network and facility sharing paradigms. When the private workload is relatively light, enterprises, social public sectors, and individuals may dynamically share their network and facilities to assist others while earning a profit. Knowledge-driven advanced artificial intelligence (AI) technologies can be used to solve the multi-folded complexity associated with determining the optimal decisions and policies for intelligent IoT networking. This is owing to the exponential development in processing power that has been facilitated by the widespread deployment of edge computing nodes within networks. To allow intelligent IoT networking solutions for commercial and industrial applications, it is expected that fascinating and difficult obstacles would arise.
The vision is so alluring, yet integrating wireless networks with IoT technologies remains a difficulty. Future IoT networks will require a new intelligent communication mechanism to achieve low latency, high data throughput, and low energy usage. In order to gather and sense multidimensional data with high precision and efficiency in a non-disturbing manner, a novel efficient sensing technique must be developed. In order to achieve a high accuracy rate, low energy consumption, and short computing time, an intelligent computation paradigm is also required. In addition, we are concerned with the integration of intelligent and efficient communication, sensing, and computation. Due to its tremendous data processing capabilities, AI is an intriguing option for achieving the aforementioned aims. Consequently, AI-driven communication, sensing, computing, and integration are also the subject of our research.
To overcome the challenges mentioned above, we offer this feature subject to assist the academic and industrial research groups in comprehending the latest research development and new technologies of wireless IoT.
• Wireless network architecture for intelligent Internet of Things
• Emerging wireless technologies for IoT
• Interoperability between wireless and wired IoT solutions
• Intelligent IoT commercial use cases over wireless networks
• Concerns and solutions for IoT security
• Machine learning for wireless IoT services
• SDN/NFV architecture for wireless IoT connections
• MEC and fog computing for Internet of Things.
To leverage the enormous potential market value of networked things, the current phase of technological innovation has been driven by connecting and comprehending items rather than users. For instance, a vast number of sensors and video cameras are dispersed throughout the city to collect various forms of data. For enhanced service delivery, the detected data is transmitted through the Internet to control centers in various administrative sectors or vertical enterprises. The trend above requires the support of IoT over a variety of wireless networks, including 5G/6G, WiFi-7/8, etc.
In wireless networks, we have brought in the concept of Intelligent IoT, which may enable new network and facility sharing paradigms. When the private workload is relatively light, enterprises, social public sectors, and individuals may dynamically share their network and facilities to assist others while earning a profit. Knowledge-driven advanced artificial intelligence (AI) technologies can be used to solve the multi-folded complexity associated with determining the optimal decisions and policies for intelligent IoT networking. This is owing to the exponential development in processing power that has been facilitated by the widespread deployment of edge computing nodes within networks. To allow intelligent IoT networking solutions for commercial and industrial applications, it is expected that fascinating and difficult obstacles would arise.
The vision is so alluring, yet integrating wireless networks with IoT technologies remains a difficulty. Future IoT networks will require a new intelligent communication mechanism to achieve low latency, high data throughput, and low energy usage. In order to gather and sense multidimensional data with high precision and efficiency in a non-disturbing manner, a novel efficient sensing technique must be developed. In order to achieve a high accuracy rate, low energy consumption, and short computing time, an intelligent computation paradigm is also required. In addition, we are concerned with the integration of intelligent and efficient communication, sensing, and computation. Due to its tremendous data processing capabilities, AI is an intriguing option for achieving the aforementioned aims. Consequently, AI-driven communication, sensing, computing, and integration are also the subject of our research.
To overcome the challenges mentioned above, we offer this feature subject to assist the academic and industrial research groups in comprehending the latest research development and new technologies of wireless IoT.
• Wireless network architecture for intelligent Internet of Things
• Emerging wireless technologies for IoT
• Interoperability between wireless and wired IoT solutions
• Intelligent IoT commercial use cases over wireless networks
• Concerns and solutions for IoT security
• Machine learning for wireless IoT services
• SDN/NFV architecture for wireless IoT connections
• MEC and fog computing for Internet of Things.
