-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] IEEE DCOSS 2022 (PHYSICAL OR HYBRID): EXTENDED SUBMISSION DEADLINE JANUARY 31 Datum: Wed, 5 Jan 2022 02:24:23 +0000 Von: Eirini Eleni Tsiropoulou eirini@UNM.EDU Antwort an: Eirini Eleni Tsiropoulou eirini@UNM.EDU An: tccc-announce@COMSOC.ORG
The 18th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS’22)* Los Angeles, California, USA -- May 30 - June 1, 2022
* The DCOSS series of events are technically co-sponsored by IEEE and Proceedings are published by IEEE Xplore.
======================================================= COVID-19 Planning
DCOSS 2022 is monitoring the COVID-19 pandemic evolution and a hybrid attendance format may be considered, if needed; in case of a hybrid format, every paper accepted for DCOSS 2022 (presented in person or virtually) will be published in the IEEE proceedings. =======================================================
DCOSS 2022 is the 18th International Conference on Distributed Computing in Sensor Systems to be held in Marina Del Rey, LA, California, USA on May 30-June 1, 2022, and is technically co-sponsored by IEEE Computer Society and by the IEEE Technical Committee on Parallel Processing (TCPP).
In the last few years, we have witnessed a significant growth in the use of IoT and distributed sensor systems in a number of application areas, ranging from smart transport, energy and buildings, to factory automation, smart healthcare and environmental monitoring. In order for smart sensor systems to truly become useful and pervasive, we need to address a number of 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 focuses on issues arising in the entire IoT and networked sensor systems stack, covering aspects of high-level abstractions, models and languages, novel algorithms and applications, system design approaches and architectures, as well as tools for simulated and real deployments. Potential authors are invited to submit original unpublished manuscripts that demonstrate recent advances in both theoretical and experimental research.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 sensor systems ● Smart healthcare to combat epidemics (including COVID-19) ● Edge and fog computing: distributed computing models from sensor to cloud ● Energy harvesting models and optimization ● Machine intelligence in distributed sensor systems and real time analytics ● Communication and networking primitives / protocols for wireless embedded systems / cross-technology communication schemes ● Autonomy: closing the loop between sensing and actuation ● Time and location management ● Task allocation, reprogramming, and reconfiguration ● Robustness, resilience, and dependability ● Security and privacy issues ● Approaches, tools, and experience of deployment and operation ● Performance analysis: complexity, correctness, scalability ● Mobile and human-centered sensing ● Interoperability, heterogeneity and scalability ● Social sensing and crowd sensing and techniques, applications, and systems ● Complex systems comprising wearable, robotic and/or fixed sensor systems ● Novel and compelling applications ● IoT systems for emerging and developing economies ● Green and environmentally-friendly IoT (low-power, harvesting, energy management) ● Design and implementation of real-world applications and systems ● Measurement studies and deployment experiences
Authors are invited to submit original unpublished manuscripts that demonstrate current research on distributed sensor systems 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. Note that DCOSS does not follow the double-blind review policy, i.e., the names and affiliations of all the authors must be present in the submitted manuscript.
*** Special Issue and Best Paper Awards *** DCOSS 2022 will announce a best paper award as well as a best poster/demo award. A Special Issue of the Computer Networks (COMNET) Journal will include selected best papers from DCOSS 2022.
*** Important dates *** - Abstract Registration Deadline: Jan 5, 2022 - Paper Submission Deadline: Jan 31, 2022 - Acceptance Notification: March 15, 2022 - Camera Ready Deadline: April 8, 2022 - Conference: May 30 - June 1, 2022
*** Organizing Committee *** - Technical Program Committee Co-Chairs: Carlo Alberto Boano (Graz University of Technology) Dimitrios Koutsonikolas (Northeastern University) Dong Wang (University of Illinois at Urbana-Champaign)
- General Chair: Sotiris Nikoletseas (University of Patras and CTI)
- Workshops Chairs Enrico Natalizio (University of Lorraine, France) Simone Silvestri (University of Kentucky, USA)
- Poster & Demo Chairs Karin Anna Hummel (JKU Linz, Austria) Eirini Eleni Tsiropoulou (University of New Mexico, USA)
- Proceedings Chair Marios Angelopoulos (Bournemouth University, UK)
- Publicity Chairs Eirini Eleni Tsiropoulou (University of New Mexico, USA) Lei Shu (Nanjing Agricultural University & University of Lincoln, China/UK) Tamoghna Ojha (IIT-CNR, Italy)
Please visit the DCOSS’22 website at www.dcoss.orghttp://www.dcoss.org for more information.
-------------------------------------------------------------------------- Eirini Eleni Tsiropoulou, Assistant Professor Computer Engineering Area Chair Director of Recruiting and Admissions
Department of Electrical and Computer Engineering University of New Mexico Albuquerque, NM, 87131 Office: 326B Tel.: (505)-277-5501 Email: eirini@unm.edumailto:eirini@unm.edu Website: PROTON Labhttp://ece-research.unm.edu/tsiropoulou/index.html PROTON Lab’s News: @Tsiropoulou_EEhttps://twitter.com/Tsiropoulou_EE
“Those who know, do. Those that understand, teach.” ~ Aristotle
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