Advances in Artificial Intelligence for Big Data Transmission and Applications of Mobile Industrial Internet of Things (IIoT)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 228
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, the massive deployment of sensors and actuators have made the Industrial Internet of Things (IIoT) highly important for achieving ubiquitous connectivity. The IIoT is essential for smooth operation of smart cities, smart transportation, smart healthcare and a wide range of similar applications. The diversity of IIoT applications is widely used in fifth-generation (5G) air-space, land and marine communication network. The presence of massive industrial networking terminals means the generation of huge amount of industrial data. Industrial big data (IBD), as a product of the combination of Big Data, Internet, and industrial Automation, is a basic strategic resource for the digital, networked, and intelligent development of the manufacturing industry. IBD has a significant and far-reaching impact on the production mode, operation mode and ecological system of manufacturing industry. 5G mobile communications will play an important role in meeting the high throughput requirements of Industrial Big Data transmission. However, reliable Industrial Big Data transmission in complex and highly mobile wireless environments are extremely challenging in this regard.
Artificial intelligence (AI) has emerged as a promising technology to resolve mobile transmission problems in mobile IIoT. AI-based applications have shown significant potential to achieve the goals and demands of future wireless communication networks. Owing to the data-driven approach, AI has brought a paradigm shift to the design and optimization of networks. Consequently, many researchers in wireless communications are focusing on AI for mobile communication applications, and AI algorithms are being developed for specific applications.
This Special Issue aims to foster research and innovation in the application of AI for Industrial Big Data transmission and provides a platform for dissemination of both theoretical and applied results. This is motivated by the requirements of future 5G and beyond networks, in which AI can be a key enabler.
Potential topics include but are not limited to the following:
- ML, DL, and optimization techniques for Industrial Big Data Transmission
- ML-driven design and optimization of modulation and coding schemes
- ML techniques for non-linear signal processing in Industrial Big Data Transmission
- ML-based distributed training and learning over-the-air
- ML for IIoT and massive connectivity
- ML for Ultra-Reliable and Low Latency Communications (URLLC)
- ML-based hybrid learning methods for channel estimation, modeling, prediction and compression of IIoT networks
- DL techniques for image transmission and processing
- Deep reinforcement learning for radio resource management in IIoT
- Reinforcement learning for self-organized IIoT networks
- AI-enabled techniques for ensured communication in Industrial Big Data Transmission wireless applications
- Intelligent design and optimization of IBD modulation and coding schemes
Dr. Lingwei Xu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Industrial Internet of Things
- industrial big data
- artificial intelligence
- big data transmission
- 5G mobile communications
- deep learning methods for signal processing
