5th International Workshop on the Internet of Time-Critical Things
IoTime 2027 (WS-07) is a workshop held in conjunction with the IEEE Consumer Communications & Networking Conference (CCNC 2027): held at the Flamingo Hotel and Casino, Las Vegas, NV, USA.
- Submission deadline: October 4, 2026
- Acceptance Notification: November 10, 2026
- Camera-Ready Paper Submission Deadline: November 23, 2026
- Conference days: January 9-12, 2027, Las Vegas, NV, USA
- Workshop day: January 9, 2027
CALL FOR TECHNICAL PAPERS
Time is an essential constraint for most components of an IoT system, such as sensors, actuators, and applications. The IoTime workshop focuses on applications, architectures, and solutions for IoT-based systems where time plays a crucial role. Precise time and timeliness in task execution are fundamental requirements for emerging IoT applications, including Industry 4.0, mobile and collaborative robots, autonomous systems, and immersive and interactive human-cyber experiences.
Original, unpublished contributions are welcomed in time-critical applications for the Internet of Things. Time is a crucial and sensitive matter in most IoT-based systems and applications. Smart factories, mobile and collaborative robots, autonomous systems, and virtual/mixed reality are examples of the next wave of applications that rely on accurate time and bounded (low) latency computing and communications. The IoTime Workshop looks for cutting-edge approaches in the whole IoT vertical - from sensors to applications - in which time plays a significant factor.
TOPICS
- Wireless time-sensitive networking to achieve secure, reliable, low-latency wireless communications.
- Wireless time-sensitive networking for AR/VR use cases.
- Real test-beds, proofs-of-concept, pilot site descriptions, and industry experience where time plays a crucial role.
- Time synchronization and coordination in multi-robot systems.
- Digital Twins to support time-critical networking in Industrial IoT.
- Time-sensitive networking, ultra-low latency, high-reliability communications.
- Time-Critical IoT Applications.
- Machine learning solutions and approaches for time-critical IoT-based systems.
- Orchestration and placement of computing and networking resources in the IoT Computer Continuum (Edge/Cloud).
- Edge AI solutions, models, and applications for IoT applications to optimize or enable applications in which time plays a significant role.
- Performance evaluation of time-critical IoT systems.
- Reference architectures for Time-Critical Things.
- Management and monitoring for time-critical applications in IoT.
- Efficient computing approaches for time-critical systems to decrease latency and computer resource usage.
- Caching policies, strategies, and architectures at the network edge for time-critical IoT systems.