DCOSS-IoT 2026 (International Conference on Distributed Computing in Smart Systems and the Internet of Things) is an academic conference held in Reykjavik, Iceland on 2026-06-22. The paper submission deadline is 2026-02-08 (extended). Acceptance notifications are sent on 2026-03-28.
The DCOSS-IoT series of events are always technically co-sponsored by IEEE, and Proceedings are published by IEEE Xplore.
The 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026) will be held in Reykjavik, Iceland, hosted by the University of Iceland. The conference is always co-sponsored by the IEEE Computer Society and by the IEEE Technical Committee on Parallel Processing (TCPP).
The conference was previously known as DCOSS. Starting in 2023, the event is broadening its scope beyond sensor networks to include smart systems in general and the Internet of Things (IoT). The updated name is “Distributed Computing in Smart Systems and the Internet of Things” (DCOSS-IoT).
In the last few years, we have witnessed significant growth in the use of IoT and distributed sensor systems in several application areas, including smart transportation, smart energy systems, smart homes and buildings, smart healthcare, and environmental monitoring. For smart sensor systems to truly become useful and pervasive, we need to address several research challenges, including the tight integration of sensing and machine intelligence, reliable and efficient networking, interoperability and scalability, the need for dependable autonomy, interaction with humans, and important aspects of security, privacy and trust. DCOSS-IoT focuses on issues arising in the entire IoT and networked sensor systems stack, covering aspects of high-level abstractions, models and languages, communication technologies, novel algorithms and applications, system design approaches and architectures, and tools for simulated and real deployments. Potential authors are invited to submit original, unpublished manuscripts demonstrating recent advances in theoretical and experimental research.
Topics of interest include, but are not limited to, the following:
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
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