With IoT applications and services in practically every aspect of our lives, global connection is becoming more very prevalent in every day structure. Terrestrial networks alone cannot satisfy these objectives, thus alternative communication infrastructures like LEO satellites, UAVs, and high-altitude platforms must be used to their maximum capacity in terms of coverage, flexibility, and availability to service IoT devices at any time and location. But the future integrated platform, such as Space-Air-Ground Integrated Network (SAGIN) is not just a collection of disparate network segments and domains. It will be the greatest regional scale ever known, making the management of heterogeneity and hybridity of this global network difficult.

 

Commercial and industrial uses, such as video streaming, remote conferencing, online purchasing, on-demand manufacturing, and video monitoring, have begun to be a constant in people's everyday lives. Emerging needs for these applications include ubiquitous access from any location, at any time, with a focus on the quality of end-to-end service delivery, and a rising demand for computer resources. Current networks have significant challenges in managing the complexity and resource scheduling efficiency required to serve the rapidly rising number of smart applications in the near future. Intelligent IoT networking structures, defined as networks that adapt to changing service demand, will be crucial in tackling these difficulties.

 

Intelligent IoT networking refers to the capacity of networks to autonomously operate and govern themselves, allowing operators to coordinate network and computer resources at a much finer granularity and with more efficiency. Intelligent IoT networking may allow new paradigms of network and facility sharing. When the private workload is relatively light, businesses, social public sectors, and individuals might dynamically share their network and facilities in order to help others while also from benefiting from an earned profit. Knowledge-driven advanced artificial intelligence (AI) approaches can be used to address the multi-folded complexity associated with deriving the optimal decisions and policies for intelligent IoT networking. This is due to the exponential growth in computing power that has been enabled by the widespread deployment of edge computing nodes within networks. In order to enable intelligent IoT networking solutions for commercial and industrial applications, it is anticipated that interesting and hard challenges will arise.

 

The main goal of this special issue is to attract academic and industrial researchers in an effort to identify and discuss the major technical challenges, recent breakthroughs, and new applications related to intelligent IoT networking.

 

 

Topics include (but not limited to):

● New concepts, theories, and protocols for intelligent IoT networking.

● Advanced sensors and energy-efficient sensing techniques for intelligent IoT networking.

● Machine learning, AI, and other innovative approaches for intelligent IoT networking.

● Hologram and other emerging trends of intelligent IoT networking and applications

● Quality of service (QoS) provisioning for diverse commercial and industrial applications.

● Innovative infrastructure, techniques, and testbeds for implementing the related solutions.

● SAGIN architecture for intelligent IoT networking.

● SAGIN architecture for intelligent IoT networking.

● Enabling interoperation of SAGIN for intelligent IoT networking.

● Information-centric networking in SAGIN for intelligent IoT networking.

● Dynamic access control for SAGIN for intelligent IoT networking.

● Artificial intelligence in SAGIN for intelligent IoT networking.

● Security and privacy of intelligent IoT networking in SAGIN.

 

Schedule

Submission Deadline:  February 15, 2023

Acceptance Notification (1st round): April 25, 2023

Minor Revision Due: May 25, 2023

Final Decision Due: June 15, 2023

Final Manuscript Due: July 10, 2023

Publication Date: August 15, 2023

 

Guest editors

Shuai Han, Harbin Institute of Technology, China

Rong Bo, Communications Research Centre, Canada

Nadra Guizani, University of Texas, Arlington, USA

Ruoyu Su, Nanjing University of Post and Telecommunications, China

Sai Xu, Northwestern Polytechnical University, China.

Liang Xiao, Xiamen University, China

Cheng Li, Memorial University, Canada

This is a designated special issue on the topic of modern IoT system, and it will be an ideal venue for researchers to discuss new results related to intelligent IoT networking for commercial and industrial applications.

 

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 “ Evolutionary Trends of Intelligent IoT Networking for Commercial and Industrial Use Cases--- August Issue 2023” 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 no more than 150 words

● 3-8 keywords

● original photographs with high-resolution (300 dpi or greater); eps. ortif. format is preferred; sequentially numbered references.

● 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, “peradventure 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