(Apologies for the multiple postings. Appreciate it if you could distribute this CFP in your network) ======================================== CFP Special Issue * Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT)* Future Generation Computer Systems - Elsevier Journal (IF 7.307, Cite Score 18.7) https://www.sciencedirect.com/journal/future-generation-computer-systems/ab… Deadline for paper submission: 26 June 2023 ======================================== Guest Editors * Akram Hakiri, University of Carthage, Tunisia. [ mailto:akram.hakiri@issatm.rnu.tn | akram.hakiri(a)issatm.rnu.tn ] * Sadok Ben Yahia, Technology University of Tallinn, Estonia. [ mailto:sadok.ben@taltech.ee | sadok.ben(a)taltech.ee ] * Aniruddha S Gokhale, Vanderbilt University, USA. [ mailto:a.gokhale@vanderbilt.edu | a.gokhale(a)vanderbilt.edu ] * Nedra Mellouli, university of Paris8, France. [ mailto:n.mellouli@iut.univ-paris8.fr | n.mellouli(a)iut.univ-paris8.fr ] Motivation and Scope The forthcoming 5G networks are expected to bring instantaneous connectivity to billions of IoT devices that enable the digital transformation of industry 4.0 for companies, customers, and investors. It is expected that 85 percent of IoT platforms will contain some form of digital twinning by 2030, driving market growth projections from $3.1 billion today to a $48.2 billion increase in the next few years. Digital twins, which are virtual representations of real-world physical entities, have received significant interest from both the research and industrial communities. The concept is used nowadays in various domains such as manufacturing, healthcare, smart cities, smart agriculture, telecommunication, and utilities to deliver the automation, performance, and cognitive insight required by many industries. Typically, virtual twin systems are generated and then synchronized using data flows in both directions between the real-world physical components and their virtual replica counterparts. Furthermore, a digital twin can enable continuous prototyping and testing on-demand, without interruption, assuring and self-optimizing the forthcoming 5G network and beyond. It creates virtual replicas of IoT devices in various application scenarios and maintains a device twin for every connected device. The main goal of this Special Issue is to address the challenges of developing digital twins in future networks and present advanced and innovative tools, techniques, and algorithms for emerging IoT applications and services. Contributions addressing both theoretical and practical applications. Topics of interest include, but are not limited to: DT for Future Networks * DT Architecture, Protocols, Open Interfaces, and Standard for Emerging Networks * Emerging Cloud, Edge, Fog, and Embedded ML for Digital Twin * DT for Software-Defined Vehicular Networks * Middleware Technologies for Network Digital Twins * Cloud-hosted Digital Twin frameworks for IoT systems * Federated learning, TinyML, and Edge AI for Real-Time Control in DTs * Intelligent Edge, Fog and Cognitive aspects of DTs beyond 5G * 5G-Powered Digital Twin for Cellular and Mobile Network Infrastructure Monitoring * Digital Twin for Network Slicing and Admission Control in 5G and O-RAN * Digital twins for 5G and O-RAN Network Infrastructure-Sharing * AI/ML-Powered DT Virtualization for IoT Beyond 5G Networks * Digital Twins for Visualization and Mobility Management in 5G/6G Networks. * DT-aware resource allocation and task scheduling in IoT networks * DT-based efficient resource allocation in 5G/6G * DTs for Secure Access Service Edge (SASE) * Digital Twins for SD-WAN Consolidation * Digital Twin for Intent-Based Networking * DT-based Machine learning Closed-Control Loops beyond 5G networks * DT for Zero Touch Network slicing, augmentation and operations * Blockchain-based trust mechanism for Digital Twin * Traceability supported by distributed ledgers for DT emerging Networks * DT-enabled Cybersecurity and Privacy-Preserving for 5G and beyond * AI-Powered Digital Twins for Anomaly Detection and Localization * Digital Twins for Complex Systems in Big Data and Cognitive Computing DT in Emerging IoT application domains: * Smart Cities Digital Twin * DT for Robotics, UAVs, Cellular-Connected Drones, and Self-Driving Vehicles * DT in smart farming and Agri-Food Sector * DT in Smart Grids and Integrated Energy Systems * Digital Therapeutics, Digital Twin for Mixed/Augmented Reality in Healthcare * AI-Powered Models and DT for Personalized and Patient-Specific Healthcare * DT for Metaverse and utility Digitalization with AI and Augmented Reality * Application of DT in industry 3D Visualization Platforms * Application of DT in Metaverse Industrial Product's Manufacturing * Application of DT in Spinning Intelligent Factory * Application of DT in multi-dimensional intelligent manufacturing space * DT in Zero Defect Manufacturing * Recent Developments and Future Perspectives of DT in Smart Industrial Systems * DT for Smart Production and Logistics and Supply Chain * Application of the digital twin in multi-dimensional intelligent manufacturing space Important Dates * Deadline for paper submission: June 26, 2023 * Latest acceptance deadline for all papers: August 30, 2023 Manuscript Submission Instructions The FGCS’s submission system ( [ https://www.editorialmanager.com/FGCS/default.aspx | https://www.editorialmanager.com/FGCS/default.aspx ] ) will be open for submissions to our Special Issue from January 26, 2023. When submitting your manuscript, please select the article type VSI: SI on DT4IoT . All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.