Internet of Things (IoT) has revolutionized the digital landscape with embedded sensors, localized computing, and ubiquitous communication capabilities. It has opened new opportunities to enable smart cities and smart communities that support people with various services in improving their quality of life. However, in order to realize a more connected community that offers wider system-level and social-level collaboration, coordinated decision-making, resiliency, and improved interaction, IoT-based systems and services need to bring intelligence into their core. The interconnection between IoT and Artificial Intelligence (AI) can provide that edge. Interestingly, there has been a growing interest to incorporate AI into IoT-based deployments. The AI-IoT solutions can leverage the huge volume of IoT data, cluster and classify them, make predictions, find patterns and provide early observations that can solve various problems of connected community and its stakeholders. Although researchers individually have been making progresses in IoT (w.r.t. systems, services composition, connectivity, deployment, etc.), AI (w.r.t. data mining, machine learning, deep learning, etc.), and smart city (w.r.t. infrastructure, decision-making, interoperability, etc.), relatively less efforts have been invested to consider the AI-IoT duo in developing intelligent systems and services that strengthen the connections between communities, increase resilience, promote communities of interests, encourage voluntary computing, and address disconnections between communities toward a greater good.
This special section aims to address the recent advances and ongoing improvements of AI-powered IoT solutions for connected communities. More specifically, various aspects related to AI-IoT deployments, technical issues, models, performance, and other aspects on building and supporting connected communities are of interest in the post-Covid-19 context.
Suggested topics include:
AI for prediction, clustering and classification in IoT-connected communities
AI to understand mediation between virtual and real interactions in IoT-connected communities
AI-powered modeling of friendship and support between IoT-enabled connected communities
AI-powered dynamic communities of Interest for IoT in different context
Resiliency in AI-IoT based connected communities to tackle abnormalities like COVID-19
Collaborative IoT for AI-powered connected communities
AI to understand and analyze the effect of disconnected communities
Security, privacy and trust issues in AI-enablement of IoT-connected community
New challenges, opportunities, and applications of AI-IoT connected community
New papers, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.
Before submission, authors should carefully read the Guide for Authors available at
Authors should submit their papers through the journal’s web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI-aiot” under the “Issues” tab.
For additional questions, contact the Main Guest Editor.
Submission of manuscript: Dec. 01, 2020
First notification: Feb. 15, 2021
Submission of revised manuscript: March 15, 2021
Notification of the re-review: April 15, 2021
Final notification: May 15, 2021
Final paper due: June 01, 2021
Publication: Sep. 2021
Dr. M. Anwar Hossain (Main Guest Editor)
Department of Software Engineering
College of Computer and Information Sciences
King Saud University, Riyadh, KSA
M. Anwar Hossain obtained his Ph.D. in Electrical and Computer Engineering from the University of Ottawa, Canada in 2010. His current research includes Internet of Things, Multimedia surveillance and privacy, Smart and assisted living, Artificial Intelligence, and Software engineering. He has authored/co-authored over 100 research articles. Dr. Hossain has co-organized several IEEE/ACM workshops including IEEE ICME AAMS-PS 2011-13, ACM MM EMASC-2014, IEEE ICME MMCloudCity-2016, and IEEE ISM EMASC-2017 workshop. He served as a guest editor of several journal special issues. Currently, he is an Associate Editor of IEEE Access, Springer Computing, and CCF Transactions on Pervasive Computing and Interaction. He has secured a number of grants for research and innovation. He is a senior member of IEEE and ACM.
Dr. Zhiwen Yu
Professor and dean of the School of Computer Science
Northwestern Polytechnical University, China
Zhiwen Yu received his Ph.D. degree in computer science and technology in 2005 from the Northwestern Polytechnical University. His research interests cover ubiquitous computing, IoT, and human-computer interaction. He has served as an associate/guest editor for a number of international journals. He is the General Co-Chair of GPC 2020, SmartCity 2016, CPSCom 2015, and several others. He has published around 150 scientific papers in refereed journals and conferences. He is a senior member of IEEE, a distinguished member of China Computer Federation and the vice chair of CCF Pervasive Computing Technical Committee. He received the CCF Young Scientist Award in 2011.
Dr. Jorge Parra
Senior researcher, Dependable Software department
Ikerlan Technology Research Centre, Spain
Jorge Parra is received his M.Sc. in Industrial Engineering from the University of Basque Country, Spain and Ph.D. degree in Telecommunications from the same university. His main activity includes the design and development of smart environments and safety-critical systems, artificial intelligence control, and IoT systems focusing on dependable software aspects. In recent years, he has been actively involved in the design and development of railway systems such as an onboard ERTMS/ETCS system (SIL4) and power loading for tramways (SIL3). He is a certified Functional Safety Engineer for HW & SW design, Automotive and Cyber Security specialist, by TÜV Rheinland.