IEEE International Conference on Distributed Computing in Sensor Systems

개요

The 22nd Annual 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. 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 Potential authors are invited to submit original, unpublished manuscripts demonstrating recent advances in theoretical and experimental research.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; 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 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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