Artificial Intelligence of Things for Future Networks and Service Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 185
Special Issue Editor
Interests: communication based train control; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Future networks like 5G networks, space–air–ground integrated networks, and large-scale distributed networks, will face numerous innovations and improvements. With the large-scale deployment of Internet of Things (IoT) applications, millions of edge devices are connected to the Internet to provide high-quality services for people’s digital lives. The IoT, nevertheless, poses difficulties in existing networks to meet the quality of experience of subscribers, and traditional communication and computing approaches might fail to meet future network requirements.
Recently, as a collaborative application of artificial intelligence (AI) and IoT techniques, the Artificial Intelligence of Things (AIoT), has been proposed to improve the management and optimization of future networks. The introduction of AIoT can boost the network to monitor the traffic in real time, quickly identify abnormalities, and dynamically adjust the configuration, thereby ensuring high-speed and reliable transmission. For example, for complex networks with high loads and constrained resources, the AI algorithm, e.g., reinforcement learning, can optimize resource allocation and scheduling to meet the future network’s requirements. In addition, deep learning methods can also detect and respond to potential dynamics in real time so that proactive measures can be taken to ensure the network performance. Furthermore, the AIoT can also facilitate the implementation of advanced authentication and access control mechanisms to ensure the integrity and privacy of data through IoT devices.
The AIoT provides new ideas for designing and optimizing future networks by integrating AI and the IoT, which would bring about the intelligent decision-making, efficient communication, and precise management of connected devices. This Special Issue will focus on topics including but not limited to the latest research advents in designing, evaluating, and optimizing future networks using the AIoT technique.
Prof. Dr. Li Zhu
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
- Internet of Things (IoT)
- Artificial Intelligence (AI)
- future networks
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.