Special Issue "Artificial Intelligence of Things (AIoT) for 5G Communication Networks"
Deadline for manuscript submissions: 30 September 2021.
2. VALORIZA, Instituto Politécnico de Portalegre, Campus Politécnico n.10, 7300-555 Portalegre, Portugal
Interests: Sensors Networks; Applied Mathematics; Computer Science; Electrical Engineering; Optimization Algorithms; Electronics and Communication Engineering; Localization Algorithms; Analog and Digital Hardware Design; Internet of Things; Embedded Design; Artificial Intelligence; Computer Architectures
Interests: Distributed Systems; Algorithms; Networks Protocols; Data Privacy; IoT
The Artificial Intelligence of Things (AIoT) is a new trend that arises from Artificial Intelligence (AI) and the Internet of Things (IoT) paradigm. Smart devices are thus interconnected through networks, communicating with each other and processing data. The growing increase in embedded processors’ processing capability has allowed the development of small intelligent microelectronics and sensors, providing full AI mechanisms such as independent learning. Small intelligent embedded systems arise and process data, providing calculated results to some higher entity and avoiding data overloading of the whole system. As a result, the amount of data transfer is significantly reduced, and the system can act faster and more efficiently. When this framework encounters the fifth-generation standard for broadband cellular networks, with greater bandwidth and device-to-device (D2D) communication features, a new dimension is produced in the mobile environment where a most direct data exchange between physically neighboring devices is allowed. These new clusters of interconnected devices can process more data locally, proving field actions without having exchanged pure raw data with centralized servers. This opens the way for many new applications, from real-time evaluation of sensor data to calibration of sensors to recognize patterns and their classification. As such, AIoT offers a decentralization of the processing power.
This Special Issue is dedicated to publishing cutting-edge research focused on addressing the various fundamental technical open challenges related to implementing artificial intelligence schemes over 5G networks.
Dr. Sergio Correia
Prof. Dr. Valderi Leithardt
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 papers will be 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. Electronics 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 1800 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.
- 5G heterogeneous computing and communication system
- 5G technologies and their use case, applications, and services
- AI-enabled IoT systems and applications
- Ambient assisted living systems
- Biomedical applications
- Blockchain solutions
- Communications and information security
- Data security in smart cities
- Edge and fog computing for IoT systems
- Intelligent decision-making theories for IoT systems
- Internet of Things solutions
- Machine learning for 5G cognitive networking
- Machine Learning for IoT systems
- Massive multiple-input–multiple-output (MIMO) communications
- Multiple-Access Techniques for High-Speed Communications
- M2M solutions
- Navigation, Localization, Map Building and Path Planning
- QoS/QoE, Reliability and Modeling in 5G Communications
- Solutions involving Security, Data Privacy and Trust
- Resource Optimization for IoT Systems
- Software/Hardware Codesign for Embedded Applications
- UAV-Assisted IoT Systems
- Vehicular Communication and Network Systems