[hpc-announce] DCOSS 2018---Call for Papers

Stefano Basagni basagni at ece.neu.edu
Fri Nov 10 09:10:43 CST 2017

[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP).]

                               CALL FOR PAPERS

                              DCOSS 2018
                               The 14th International Conference on
                          Distributed Computing in Sensor Systems (DCOSS)
                                          New York, U.S.A.
                                         June 18 - 20, 2018

Abstract Registration Deadline: 23:59:59 EDT on January 17, 2018
Paper Submission Deadline: 23:59:59 EDT on January 24, 2018
Acceptance Notification: March 28, 2018
Camera Ready Deadline: April 11, 2018

Distributed sensor systems today are increasingly ubiquitous, producing information-rich massive data about the physical world. Due to the potential of impacting an entire host of application areas, distributed sensor systems have become a highly visible research area. The International Conference on Distributed Computing in Sensor Systems (DCOSS) focuses on distributed computing issues in networked sensor systems (including, but not limited to, algorithms and applications, systems design techniques and tools, and in-network signal and information processing). The conference normally features three tracks on Systems and Applications, Algorithms and Protocols, and Signal and Information Processing.

Potential authors are invited to submit original unpublished manuscripts that demonstrate recent advances in both theoretical and experimental research.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 aspects:
˙    Computation and programming models from sensor to cloud
˙    Energy models, minimization, awareness
˙    Sensor data storage, retrieval, and processing
˙    Distributed collaborative information processing
˙    Machine learning techniques for sensor data analytics
˙    Abstractions for modular design
˙    Communication and networking primitives and protocols
˙    Task allocation, reprogramming, and reconfiguration
˙    Sensor network management, diagnosis, and fault tolerance
˙    Security and privacy issues
˙    Approaches, tools, and experience of deployment and operation
˙    Closed-loop control for sensing and actuation
˙    Performance analysis: complexity, correctness, scalability
˙    Mobile and human-centered sensing
˙    Sensing for the Internet of Things
˙    Crowd sensing and social sensing techniques, applications, and systems
˙    Sensing for smart grid systems, green networks, and sustainability

In addition to DCOSS?s traditional focus, DCOSS 2018 will include a ?track of the year?: Massive Sensing for the Industrial IoT. Topics of interests include but are not limited to:
˙    Dependable, safe, secure networked sensing and control
˙    Cloud-based big sensor data management
˙    Real-time sensor data analytics
˙    Data intensive applications and algorithms, e.g. VR/AR for industry
˙    Industrial diagnosis and fault analysis based on sensing systems
˙    Networking and communication in the industrial environments
˙    Location and time management for industrial processes
˙    Heterogeneity and interoperability of sensor systems
˙    Service description and discovery
˙    Digital twins and simulation of physical processes
˙    Industrial applications such as predictive maintenance, smart factories, smart products, ...

Authors are invited to submit original unpublished manuscripts that demonstrate current research on distributed sensor systems related to DCOSS topics of interest.

All submissions should be written in English with a maximum of eight (8) printed pages including figures. Authors may add at most two (2) pages, but only for an appendix, i.e. these two pages contain supplementary material only. The additional two pages will incur overlength charges at $100/page.

Please read  http://www.dcoss.org/submission.html <http://www.dcoss.org/submission.html> for more details.


Frank Hsu (Fordham University, USA)
Sethuraman Panchanathan (Arizona State University, USA)

Habib M. Ammari, (Fordham University, USA)
David Wei, (Fordham University, USA)
Gary M. Weiss (Fordham University, USA)

Yuan He (Tsinghua University, China)
Guevara Noubir (Northeastern University, USA)
Kay Romer (Graz University of Technology, Austria)

Jiannong Cao (The Hong Kong Polytechnic University, China)
Alberto Garcia-Ortiz University of Bremen, Germany)

Ulf Kulau (Technical University Braunschweig, Germany)
Damian Lyons (Fordham University, USA)
Lars Wolf (Technical University Braunschweig, Germany)

Pierre Leone (University of Geneva, Switzerland)
Utz Roedig (Lancaster University, UK)
Xiaolan Zhang (Fordham University, USA)

Stefano Basagni (Northeastern University, USA)
Md Zakirul Alam Bhuiyan (Fordham University, USA)
Flavia Delicato (Federal Univesity of Rio de Janeiro, Brazil)
Jing Liang (University of Electronic Science and Technology of China, China)
Aline Carneiro Viana (Inria, France)


Laetus deget cui licet in diem dixisse: Vixi.
Stefano Basagni, Ph.D.      Associate Professor of Computer Engineering
Dept. of Electrical and Computer Engineering   312 Dana Research Center
Northeastern University            360 Huntington Ave. Boston, MA 02115
Tel. 617 373 3061, Fax 617 373 8970         E-mail: basagni at ece.neu.edu <mailto:basagni at ece.neu.edu>
***               http://www.ece.neu.edu/faculty/basagni/ <http://www.ece.neu.edu/faculty/basagni/>           ***

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