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 Potential authors are invited to submit original, unpublished manuscripts demonstrating recent advances in theoretical and experimental research.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