The 20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024) Abu Dhabi, UAE - April 29 to May 1, 2024 * The DCOSS-IoT series of events are always technically co-sponsored by IEEE, and Proceedings are published by IEEE Xplore. The 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024) will be held in Abu Dhabi, United Arab Emirates. 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 Potential authors are invited to submit original, unpublished manuscripts demonstrating recent advances in theoretical and experimental research.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: · Artificial Intelligence for IoT · Machine learning and data mining for IoT and Smart Systems · Smart healthcare to combat epidemics · Edge and fog computing: distributed computing models from sensor to cloud · Machine intelligence in distributed sensor systems and real-time analytics · Novel communication paradigms (e.g., 5G/6G, VLC, DSA) for IoT and Smart Systems · Cyber-Physical Systems · IoT and Smart Systems for Smart and Connected Communities · Autonomous systems: closing the loop between sensing and actuation · Time and location management · Robustness, resilience, and dependability of IoT and smart systems · Security and privacy in IoT and Smart Systems · Performance analysis: complexity, correctness, scalability · Mobile and human-centric sensing · IoT and Smart Systems for social computing · Interoperability, heterogeneity and scalability · Unmanned aerial vehicle (UAV)-based sensing/communications/networking · Social sensing and crowd sensing techniques, applications, and systems · Complex systems comprising wearable, robotic and/or fixed sensor systems · IoT and Smart Systems for emerging and developing economies · Green and environmentally friendly IoT (low-power, harvesting, energy management) · Sensors and Robots for Internet of Intelligent Things · Design and implementation of real-world applications and systems · Approaches, tools, and experience of deployment and operation · Interdisciplinary applications of IoT and Smart Systems · Smart healthcare and digital epidemiology · Smart agriculture · Smart infrastructures · Smart cities · Smart energy, transportation, and water distribution systems · Smart factories · Smart workspace Authors are invited to submit original, unpublished manuscripts demonstrating current research on distributed smart systems and IoT related to the aforementioned topics of interest. 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 at 100$/page for supplementary material only (such as theorems, proofs, implementation details) are allowed. Starting last year, DCOSS-IoT will follow 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 HotCRP submission system. *** Special Issue and Best Paper Awards *** DCOSS-IoT 2024 will announce a best paper award and a best poster/demo award. Extended versions of selected best papers from DCOSS-IoT 2024 will be included in a Special Issue of the Computer Networks (COMNET) Journal. *** Important dates *** · Abstract Registration Deadline: January 8, 2024 · Paper Submission Deadline: January 15, 2024 · Acceptance Notification: March 8, 2024 · Camera Ready Deadline: March 18, 2024 *** Key Organizers *** - Technical Program Committee Co-Chairs: · Tommaso Melodia (Northeastern University, USA) · Nathalie Mitton (Inria Lille - Nord Europe) · Enrico Natalizio (Technology Innovation Institute - TII, UAE) - Steering Committee Chair: * Sotiris Nikoletseas, University of Patras and CTI, Greece - Local Chairs · Jennifer Simonjan (Technology Innovation Institute - TII, UAE) · Michael Baddeley (Technology Innovation Institute - TII, UAE) · Lina Bariah (Technology Innovation Institute - TII, UAE) · Andrew Chopra (Technology Innovation Institute - TII, UAE) Please visit the DCOSS-IoT 2024 website<https://dcoss.org/> for more information. Aris Leivadeas | Associate Professor Department of Software and IT Engineering École de technologie supérieure | University of Quebec 1100, rue Notre-Dame Ouest, office A-3415 Montréal (Québec) H3C 1K3 Tel. 514 396-8860 | etsmtl.ca<http://etsmtl.ca/> Find us on Facebook<http://www.facebook.com/etsmtl> - Twitter<http://twitter.com/etsmtl> - YouTube<http://www.youtube.com/user/etsmtl> - LinkedIn<https://www.linkedin.com/school/etsmtl/>