To support intelligent Internet of Things (IoT) applications, such as autonomous driving, smart city surveillance, and virtual reality (VR)/augmented reality (AR), cloud services are expected to be pushed to the proximity of IoT devices for quality performance. For instance, to facilitate safe autonomous driving, the service delay of most vehicular applications is required to be within milliseconds, and any information delay may result in dangerous on-road conditions. Edge intelligence aims at processing data/computing-intensive IoT tasks at the edge of network, where a set of IoT devices can work cooperatively for data collection, processing, model training, caching, and data analytics via edge caching, edge training, edge offloading, etc. It empowers intelligent IoT services at the network edge. However, it is challenging to achieve satisfying performance due to the following reasons. On the one hand, as the edge nodes are constrained by storage/computing resources, it is essential to conduct end-edge-cloud resource orchestration and resource sharing, taking into account device mobility, burst & stochastic service requests, and heterogeneous resources. On the other hand, better quality of service/learning of IoT applications is difficult to be guaranteed as the task execution/model training is contributed by distributed IoT devices. As a result, individual quality characterization, participating node selection, multi-level collaboration, robustness against malicious attacks are crucial. At last, to enable IoT intelligence, frequent communication and coordination among IoT devices, edge nodes and cloud servers are required, which can raise significant overhead, delay, and potential disclosure of sensitive information. Overcoming those challenges calls for further in-depth research.

 

This special issue aims to organize cutting-edge research related to end-edge-cloud orchestration and its application in intelligent IoT, including novel ideas on data collection and analytics, models, methodologies, architecture and system design, performance measurements and test experiments. To promote and expose these research activities to the China Communication readership, we solicit contributions for a Feature Topic on “IoT Intelligence Empowered by End-Edge-Cloud Orchestration” scheduled for July, 2022.

 

Submission Deadline: January 15, 2022

Acceptance Notification (1st round): April 15, 2022

Minor Revision Due: May 15, 2022

Final Decision Due: June 1, 2022

Final Manuscript Due: June 15, 2022

Publication Date: July 15, 2022

 

Yaoxue Zhang, Academician of Chinese Academy of Engineering, Tsinghua University, China.

Feng Lyu, Central South University, China.

Peng Yang, Huazhong University of Science and Technology, China.

Wen Wu, University of Waterloo, Canada.

Jie Gao, Marquette University, USA.

 

 

1. Network architectures and protocols of End-Edge-Cloud for intelligent IoT

2. Resource allocation and task scheduling in End-Edge-Cloud for intelligent IoT

3. Network slicing and orchestration of intelligent IoT

4. Distributed learning for Intelligent IoT

5  Data sensing and analytics in Intelligent IoT 

6. Emerging techniques supporting time-critical applications in Intelligent IoT 

7. Communication- and Energy-efficiency in Intelligent IoT

8. Secure communications in End-Edge-Cloud empowered IoT

9. Privacy-preserving of distributed Learning for intelligent IoT

10. Performance analysis and simulation of Intelligent IoT applications

11. Standardization and field trials progress of Intelligent IoT

 

 

This feature topic “IoT Intelligence Empowered by End-Edge-Cloud Orchestration” seeks original, UNPUBLISHED research papers reporting substantive new work in various aspects of topics above. Papers MUST clearly indicate your contributions to the topic field and properly cite related work in this field.

 

Papers should be submitted in two separate .doc files (preferred) or .pdf files: 1) Main Document (including paper title, abstract, key words, and full text); 2) Title page (including paper title, author affiliation, acknowledgement and any other information related with the authors’ identification) through the Manuscript Central. Please register or login at http://mc03.manuscriptcentral.com/chinacomm, then go to the author center and follow the instructions there. Remember to select “IoT Intelligence Empowered by End-Edge-Cloud Orchestration–July Issue, 2022” as your manuscript type when submitting; otherwise, it might be considered as a regular paper. Each submission must be accompanied by the following information:

● an abstract of about 150 words

● 3-8 keywords

● original photographs with high-resolution (300 dpi or greater); eps. or tif. format is preferred

● sequentially numbered references. The basic reference format is: author name, "article name", issue name (italic), vol., no., page, month, year. for example: Y. M. Huang, "pervateture in wireless heterogeneous…", IEEE Journal on Selected Areas, vol. 27, no. 5, pp 34-50, May, 2009.

● brief biographies of authors (50-75 words)

● contact information, including email and mailing addresses