Call for Submissions: IEEE DCOSS-IoT
Conference dates: 22 - 24 June, 2026 | Reykjavik, Iceland
International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
The conference has been designed since its inception to encompass various aspects of distributed computing in smart systems, including high-level abstractions and models, systematic design methodologies, signal and information processing, algorithms, analysis, and applications. Starting from the 2023 event, DCOSS is broadening its scope beyond sensor networks to smart systems in general as well as the Internet of Things (IoT).
Why Participate?
- Share your work with international experts and peers, and gain valuable feedback
Opportunities
- Present your emerging ideas and applications
- Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
- Utilize your platform to share new advances, ideas, and solutions
- Highlight your contributions
- Contribute to event programming and technical content
- Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters
- Take part in emerging presentations and demos
Topics
- Approaches, tools, and experience of deployment and operation
- Artificial Intelligence for IoT
- Autonomous systems: closing the loop between sensing and actuation
- Complex systems comprising wearable, robotic and/or fixed sensor systems
- Cross-layer optimization in 6G-enabled IoT and tactile internet
- Cyber-Physical Systems
- Design and implementation of real-world applications and systems
- Digital immune systems for IoT security and resilience
- Edge and fog computing: distributed computing models from sensor to cloud
- Energy-autonomous IoT (self-sustaining devices powered by ambient energy harvesting)
- Generative AI for IoT data synthesis, simulation, and anomaly detection
- Green and environmentally friendly IoT (low power, harvesting, energy management)
- Interdisciplinary applications of IoT and Smart Systems
- Interoperability, heterogeneity and scalability
- IoT and Smart Systems for emerging and developing economies
- IoT and Smart Systems for Smart and Connected Communities
- IoT and Smart Systems for social computing
- IoT for climate change adaptation, carbon monitoring, and sustainability analytics
- Large Language Models (LLMs) and foundation models for distributed smart systems
- Machine intelligence in distributed sensor systems and real-time analytics
- Machine learning and data mining for IoT and Smart Systems
- Metaverse and immersive environments powered by IoT and distributed smart systems
- Mobile and human-centric sensing
- Neuromorphic computing and brain-inspired architectures for IoT edge devices
- Novel communication paradigms (e.g., 5G/6G, VLC, DSA) for IoT and Smart Systems
- Performance analysis: complexity, correctness, scalability
- Privacy-preserving analytics with federated learning and differential privacy in IoT
- Robustness, resilience, and dependability of IoT and smart systems
- Satellite–terrestrial integration for global IoT connectivity (LEO/GEO constellations)
- Security and privacy in IoT and Smart Systems
- Sensors and Robots for Internet of Intelligent Things
- Smart agriculture
- Smart cities
- Smart energy, transportation, and water distribution systems
- Smart factories
- Smart healthcare and digital epidemiology
- Smart healthcare to combat epidemics
- Smart infrastructures
- Smart workspace
- Social sensing and crowd sensing techniques, applications, and systems
- Time and location management
- Unmanned aerial vehicle (UAV)-based sensing/communications/networking
In addition to submitting your paper to IEEE DCOSS-IoT 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE’s data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
