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).

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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

Submit Your Content

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!