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Neural Computing and Applications
Publishing model:
Hybrid

Neural Computing and Applications - Topical Collection on Artificial Intelligence of Things for Future Networks and Service Management

Aims, Scope and Objective:

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. 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, Artificial Intelligence of Things (AIoT), has been propsoed 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 the high-speed and reliable transmission. For example, for complex networks with high loads and constrained resources, the AI algorithm, e.g., the reinforcement learning can optimize the resource allocation and scheduling to meet the future network’s requirements. Besides, 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. Further, AIoT can also facilitate the implementation of advanced authentication and access control mechanisms, to ensure the integrity and privacy of data through IoT devices.

AIoT provides new ideas for designing and optimizing future networks by integrating AI and IoT, which would bring the intelligent decision-making, efficient communication, and precise management of connected devices. This special issue will focus on, but not limited to, the latest research advents in designing, evaluating, and optimizing future networks by the AIoT technique.

The topics of interest include, but are not limited to:

  • Designing, implementation, and optimization of future networks by AIoT
  • Intelligent management and efficient routing in future networks by AIoT
  • Large-scale data processing and analytics for future networks
  • AI empowered communication optimization in future networks
  • Cloud-edge-terminal collaboration-enabled AIoT in future networks
  • Trusted, secure, and privacy computing system designing for AIoT in future networks
  • Privacy and anonymity for future network applications
  • AIoT-enabled techniques and applications in future networks
  • AIoT-enabled modeling, simulation, and analytics for future networks
  • Blockchain-eanbled AIoT in future networks

Guest Editors:

Prof. Li Zhu (Lead Guest Editor), Beijing Jiaotong University, China, lizhu@bjtu.edu.cn
Prof. Mianxiong Dong, Muroran Institute of Technology, Japan, mx.dong@csse.muroran-it.ac.jp
Prof. Jie Feng, Xidian University, China, fengjie@xidian.edu.cn
Prof. F. Richard Yu, Carlton University, Canada, Richard.Yu@carleton.ca
Dr. Mian Ahmad Jan, University of Sharjah, United Arab Emirates; mjan@sharjah.ac.ae

Manuscript submission deadline: 31st August 2024

Peer Review Process

All the papers will go through peer review,  and will be reviewed by at least two reviewers. A thorough check will be completed, and the guest editor will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time. The final decision will be taken by the Editor-in-Chief.

The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works).

Submission Guidelines

Paper submissions for the special issue should strictly follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines (this opens in a new tab)). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).

Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx (this opens in a new tab) or via the 'Submit manuscript' button on the journal homepage.
Authors should select “TC: Artificial Intelligence of Things for Future Networks and Service Management” during the submission step ‘Additional Information’.

Author Resources

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