(Previous editions of DCOSS-IoT have been technically co-sponsored by IEEE, with their proceedings included in the IEEE Xplore Digital Library. IEEE technical co-sponsorship and publication approval for the 2027 edition are pending).
The 23nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2027) will be held in Montreal, Canada, hosted by the École de Technologie Supérieure (ETS).

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 recent years, we have witnessed significant growth in the adoption of IoT and distributed sensor systems across a wide range of application areas, including smart transportation, smart energy systems, smart homes and buildings, smart healthcare, and environmental monitoring. Realizing the full potential of these systems and enabling their widespread deployment requires addressing several research challenges, including the tight integration of sensing and machine intelligence, reliable and efficient networking, interoperability and scalability, dependable autonomy, human–system interaction, and security, privacy, and trust. DCOSS-IoT addresses issues across the entire IoT and networked sensor systems stack, encompassing high-level abstractions, models and languages, communication technologies, novel algorithms and applications, system design approaches and architectures, and tools for simulation and real-world deployment. The conference also welcomes emerging research directions driven by advances in AI techniques for the IoT domain, including edge AI, agentic AI for IoT applications. Potential authors are invited to submit original, unpublished manuscripts demonstrating recent advances in theoretical and experimental research.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:
Agentic AI and IoT applications
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
Digital Twins for IoT Networks and Devices
Edge and fog computing: distributed computing models from sensor to cloud
Edge AI and Tiny ML approaches
Embodied AI and Foundation Models for Cyber-Physical Systems Control
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
Physical AI for IoT Systems
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

Authors are invited to submit original, unpublished manuscripts demonstrating current research on distributed smart systems and IoT related to the aforementioned topics of interest. Papers will be evaluated based on originality and novelty, technical quality and soundness, significance and relevance to the conference scope, clarity of presentation, and quality of experimental or theoretical validation. Please use the US letter size (8.5 X 11 in) standard IEEE conference LaTeX format or Microsoft Word template available on: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
All submissions should be written in English and have a maximum of eight (8) printed pages, including figures and references. Two (2) additional pages for supplementary material only (such as theorems, proofs, implementation details) are allowed at an extra cost. Starting 2023, DCOSS-IoT follows a double-blind review process. As a result, authors must make a good faith effort to anonymize their submissions. Although submission is double-blind, the existence or availability of non-anonymous preprints (on arXiv or other preprint servers) will not lead to your paper being rejected. Reviewers will be instructed not to look for such preprints actively but encountering them will not constitute a conflict of interest. Papers that do not meet the size, formatting, and anonymization requirements will not be reviewed. We require each paper to be in Adobe Portable Document Format (PDF) and submitted through the EDAS submission system.
*** Key Organizers ***
- Technical Program Committee Chairs
Prof. Marco Di Felice (University of Bologna, Italy).
Prof. Kaushik Chowdhury (University of Texas at Arlington, USA)
Prof. Bang Chul Jung (Ajou University, Korea)
- General Chair
Prof. Aris Leivadeas (ETS Montreal, Canada).
- Steering Committee Chair
Sotiris Nikoletseas (University of Patras and CTI, Greece)