The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are at the forefront of the current "smart" revolution, embedding digital connectivity into daily life and enabling a wide array of applications. These span from tiny smart objects, wearables, and vehicles to smart buildings, factories, transport systems, power grids, and smart cities. At the heart of these applications there are advanced computer communications and networking technologies that facilitate not only efficient, low-latency communication but also robust and resilient systems. Over the past decade, remarkable advancements in computing and communication have expanded the horizons and posed new challenges for IoT and CPS research. IoT systems are typically characterized by constraints in energy, computation, and communication capacity, alongside the deployment of sensors in myriad small objects. These characteristics bring significant challenges related to energy efficiency, data management and sharing, security & privacy, etc. Conversely, CPS integrate physical processes with computational control, resulting in complex systems that demand coordinated and responsive operation. As the environment for these systems becomes increasingly complex and diverse, challenges around interoperability, flexibility, robustness, resilience, time sensitivity, resource constraints, heterogeneity, and human-machine interaction have intensified. Addressing these challenges requires innovative theoretical and experimental approaches at both the network and system levels. We invite submissions of pioneering research that contributes to the understanding and advancement of IoT and CPS, particularly in the areas listed below.
Topics:• Edge Computing and Fog Computing for IoT and CPS
• Blockchain and Distributed Ledger Technologies for IoT and CPS
• 5G and Beyond Networks for IoT and CPS
• Integration of IoT and CPS with Cloud Computing
• Human-Centric IoT and CPS
• Real-Time Operating Systems for IoT and CPS
• Multi-Agent Systems and Collaborative IoT
• AI and Machine Learning for IoT and CPS
• LLM/VLM for IoT and CPS
• Augmented Reality (AR) and Virtual Reality (VR) Applications in IoT and CPS
• Digital Twins and Virtual Prototyping based on IoT and CPS
• Quantum Computing Applications in IoT and CPS
• Green IoT and Sustainable CPS
• Security and Privacy in IoT and CPS
• Trust Management and Authentication Mechanisms for IoT and CPS
• Multimodal sensing in IoT and CPS
• Industrial IoT and CPS, smart grid, and smart manufacturing/assembly
• Wearable systems in IoT and CPS
• Applications of wireless embedded networks in IoT and CPS: health, automation, manufacturing, transportation, smart cities, etc.
• Communication and networking for wireless and embedded systems in IoT and CPS
• Dependability in IoT and CPS, including reliability, availability, safety, and real-time guarantees
• Wireless sensing systems in IoT and CPS
• Localization and location-based services in IoT and CPS
• Empirical studies, measurement, deployment, and experience reports
• Modeling, simulation, and measurement tools for IoT and CPS
Track Chairs:
- Carlo Alberto Boano, TU Graz, Austria, carloalberto.boano@gmail.com
- Xiulong Liu, Tianjin University, China, xiulong_liu@tju.edu.cn
- Chenhan Xu, North Carolina State University, USA, cxu34@ncsu.edu
1. Sam Michiels, KU Leuven, Belgium, sam.michiels@kuleuven.be
2. Ulf Kulau, Hamburg University of Technology, Germany, ulf.kulau@tuhh.de
3. Matteo Zella, Hochschule Niederrhein, Germany, Matteo.Zella@hs-niederrhein.de
4. Christian Renner, Hamburg University of Technology, Germany, christian.renner@tuhh.de
5. Anna Förster, University of Bremen, Germany, anna.foerster@uni-bremen.de
6. Xiuzhen Guo, Zhejiang University, China, guoxz@zju.edu.cn
7. Michael Baddeley, Technology Innovation Institute, UAE, michael.baddeley@tii.ae
8. Huber Flores, University of Tartu, Estonia, huber.flores@ut.ee
9. Hanting Ye, Duke University, USA, hanting.ye@duke.edu
10. Christian Poellabauer, Florida International University, USA, cpoellab@fiu.edu
11. Yegang Du, Tohoku University, Japan, yegang.du.b8@tohoku.ac.jp
12. Xiaokang Wang, Zhengzhou University, China, kxwang@zzu.edu.cn
13. Yanni Yang, Shandong University, China, yanniyang@sdu.edu.cn
14. Chuntao Ding, Beijing Normal University, China, ctding@bnu.edu.cn
15. Qiang He, Northeastern University, China, heqiang@mail.neu.edu.cn
16. Jiuwu Zhang, Nankai University, China, zhangjiuwu@nankai.edu.cn
17. Wei Li, Jiangnan University, China, cs_weili@jiangnan.edu.cn
18. Shan Jiang, Sun Yat-sen University, China, jiangsh73@mail.sysu.edu.cn
19. Hankai Liu, Nankai University, China, lhk@nankai.edu.cn
20. Yinqiu Liu, Nanyang Technological University, Singapore, yinqiu001@e.ntu.edu.sg
21. Ying Chen, Penn State University, USA, yfc5578@psu.edu
22. Zongxing Xie, Kennesaw State University, USA, zxie1@kennesaw.edu
23. Savio Sciancalepore, Eindhoven University of Technology, The Netherlands, s.sciancalepore@tue.nl
24. Xiaoyu Zhang, University at Buffalo, USA, zhang376@buffalo.edu
25. Xiaojian Wang, University of Colorado Denver, USA, xiaojian.wang@ucdenver.edu