Submission Deadline: 28 February 2023 (closed) Submit to Special Issue
5G has been fully
commercialized. With the continuous penetration of 5G in the vertical industry,
people's idea of 6G is gradually put on the agenda. Facing 2030 +, 6G will
fully support the digitization of the whole world on the basis of 5G, and
combine with the development of artificial intelligence (AI) and other
technologies to promote the society to move towards the "digital
twin" world of virtual and reality, and realize the beautiful vision of
"digital twin and ubiquitous wisdom". 6G integrates the digital world
and the physical world. It is no longer a simple communication transmission
channel, but also can sense everything, so as to realize the intelligence of
everything. 6G will become the network of sensors and machine learning, the
data center is the brain, and machine learning will spread all over the
network. The key feature of 6G is native AI, which is distributed all over sensor
network. It optimizes and manages the communication sensor network. The
communication sensor network can be self-generated and self-evolving.
AI technology supporting 6G will allow the creation of the "smart application layer" for interconnecting devices, from self-driving cars to medical implants to geo sensors, all of which can communicate with each other in real time. This wide coverage network will be supported by an "intelligent sensor layer", which will quickly collect and analyze a large amount of relevant data from these interconnected devices.
However, the research of intelligent sensor is still in its infancy, and there are some technical difficulties to be solved. This special section focuses on the application of intelligent sensor in AI assisted sensor networks to timely publish the research results of intelligent sensor based on AI, and promote the development of intelligent sensor key technology.
Potential topics include but are not limited to the following:
1. AI-based intelligent sensor network modeling.
2. PHY-layer intelligent sensor network enablers: massive MIMO, mmWave, full-duplex, NOMA, etc.
3. AI-powered intelligent Network-layer protocols, frameworks, infrastructures, IoT devices.
4. AI-based energy-efficiency/harvesting optimization modeling for intelligent sensor network.
5. AI-based network security and privacy modeling for intelligent sensor network.
6. Advance intelligent big data analytics in intelligent sensor network model.
7. Intelligent sensor applications: smart home, smart E-health, smart cities, intelligent manufacturing, etc.
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