Room: MR 401
Abstract
The IEEE 1st International Workshop on Next-Generation Advanced Industrial Internet of Things (IIoT) aims to provide a premier forum for researchers, engineers, and industry practitioners to present and exchange groundbreaking innovations, emerging trends, and transformative technologies that will shape the future of industrial wireless networks.
The IIoT is transforming manufacturing, automation, and smart infrastructure by enabling seamless connectivity among machines, sensors, and control systems. At the heart of IIoT, short-range wireless communication technologies play a pivotal role in meeting the fundamental requirements of industrial production and manufacturing. These include automated control within factories, on-site data acquisition, horizontal system integration, and vertical enterprise integration. From a communication perspective, such technologies must deliver stringent guarantees in real-time performance, determinism, and reliability for industrial data transmission. Beyond basic connectivity, they must also tackle critical industrial demands such as interoperability across heterogeneous systems, intrinsic safety in hazardous environments, functional safety for equipment and personnel, robust information security, high availability to minimize downtime, and seamless integration with legacy infrastructures. General-purpose communication solutions, therefore, cannot be directly transplanted into industrial settings without significant adaptation.
The future of industrial connectivity lies in the convergence and co-evolution of diverse wireless technologies. Instead of a performance race among isolated protocols, the next-generation paradigm is moving toward an intelligent connectivity ecosystem characterized by multi-technology integration, heterogeneous interoperability, and coordinated evolution. This workshop is particularly timely, taking place at a critical juncture where several technological megatrends are converging: the maturation of 5G-Advanced, the initial standardization of 6G and next-generation Wi-Fi, as well as the rapid rise of AI-native network architectures. Together, these developments are fundamentally reshaping the landscape of industrial wireless networks and creating a critical window to redefine the communication paradigms required for the transition from automated to truly autonomous and cognitive industrial operations.
This workshop directly addresses this inflection point by bringing together cutting-edge research on short-range wireless communication technologies for IIoT. We invite original contributions that cover theoretical foundations, algorithmic advances, system designs, and experimental validations that pave the way for next-generation industrial connectivity. The original submissions on the following (but not limited to) topics are welcome:
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Wireless protocols and standards for IIoT;
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Case studies and real-world deployments;
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Low-power and energy-efficient communications;
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Real-time and reliable wireless communications;
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AI/ML techniques for optimizing industrial wireless networks;
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Fully integrated, ultra-low-power and full-bandwidth SoC;
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Security, trust, dependability and reliability in industrial wireless networks;
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Prototyping and experimental validation;
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Other advanced technologies for IIoT.
Organizers
- Bin Wu, North China University of Technology, China
- Kan Zheng, Ningbo University, China
- Yonghui Li, University of Sydney, Australia
- Haojun Yang, North China University of Technology, China
- Kuan Zhang, University of Nebraska-Lincoln, USA
- Xuming Fang, Southwest Jiaotong University, China
Chong Yu, University of Cincinnati, USA
WS14-S1:
Time: 14:00 – 15:30
Room: MR401
Chair: TBD
Presentations:
1571233779: Real-Time Pollution Detection for IIoT: A Hybrid Reinforcement Learning Offloading Framework for Multi-Tier Satellite Networks
Chen Miaomiao; Lu Hou; Yufan Luo
1571233807: Device-Specific Anomaly Detection via Transfer Learning in Edge Networks
Rasmus Regnell; Gabriel Sjögren; Bjorn Landfeldt
1571233949: Revisiting in-Network Caches on Constrained IEEE 802.15.4 IoT Hardware: Reproducible Testbeds and Future Research Motivation
Isikcan Yilmaz; Jonas Schulz; Siddharth Das; Ricardo J. B. Pousa; Leonardo Gonzalez; Juan A. Cabrera; Patrick Seeling; Frank H.P. Fitzek
1571233959: Iterative Compensation for Clipping Noise in Space-Time Line Coded OFDM Systems
Caiyi Huang; Chaowu Wu; Yue Xiao; Vladimir K. Poulkov; Wei Xiang
WS14-S2:
Time: 16:00 – 17:30
Room: MR401
Chair: TBD
Presentations:
1571234000: Energy-Efficient Access Mechanism for Contention-Based Industrial IoT
Kangxing Lin; Yuhao Liu; Jie Mei
1571234582: Learning to Maximize Energy Efficiency in 6G in-X Subnetworks
Ramoni O Adeogun
1571239666: An Efficient and Scalable Framework for Validating Functionality of IoT/Embedded Devices
Raghu H V; Afzal Warsi; Vishal Jitendrakumar Rathod; Sheikh Asif Ali; Haribabu Pasupuleti; Shamjith KV; Sithu D Sudarsan; Pranjal Johri
1571240654: Stochastic Network Calculus Analysis of SPMA for Delay-Sensitive Industrial IoT Networks
Ruilin Wang; Feng He; Peng Liu; Ershuai Li; Xuan Zhou