Dear Colleagues,

Please see the attached Call for Papers for ACM SenSys 2021. We
enthusiastically look forward to your submissions. Our sincere apologies if
you receive multiple copies of this email.

The *ACM Conference on Embedded Networked Sensor Systems* (SenSys 2021) is
the premier computer systems conference focused on the architecture,
design, implementation, and performance of networked sensing systems,
sensor-oriented data modeling and analytics, and sensor-enabled
applications. ACM SenSys brings together academic, industry, and government
professionals to a single-track, highly selective forum that takes a broad
view on the areas of computing relevant to the future of networked embedded
sensor systems.

*Important Dates*

  - *Paper Registration and Abstract: May 28, 2021, 23:59 AoE*
  - *Paper Submission: June 4, 2021, 23:59 AoE*
  - Notification of Paper Acceptance: September 8, 2021
  - Submission site: https://sensys21.hotcrp.com/

*Topics of interests* include, but are not limited to, the following:

  - New platforms and hardware designs for networked sensor systems
  - New communication paradigms for ubiquitous connectivity
  - Low-power wireless media access control, network, and transport
  protocol designs
  - Systems software, including operating systems, network stacks, and
  programming
  - System services such as time and location estimation
  - Low-power operation, energy harvesting, and energy management
  - Resource-efficient machine learning for embedded and mobile platforms
  - Mobile and pervasive systems with elements of networked sensing
  - Data management and analytics, including quality, integrity, and
  trustworthiness
  - Learning algorithms and models for perception, understanding, and
  adaptation
  - Heterogeneous collaborative sensing, including human-robot sensor
  systems
  - Security and privacy in networked sensor applications and systems
  - Fault-tolerance, dependability, and verification
  - Applications and deployment experiences

We invite technical papers describing original ideas, groundbreaking
results, and real-world experiences involving innovative networked embedded
sensor systems. Successful submissions will explain why the topic is
relevant to a vision of the future of sensing systems. Submissions will be
judged on originality, significance, clarity, relevance, and correctness.

*Submission Guidelines*Submitted papers must be unpublished and must not be
currently under review for any other publication. Submissions must be
full papers, at most 12 single-spaced 8.5” x 11” pages with 9-pt font size
in two-column format, including figures and tables. As for references,
submissions may include as many pages as needed. All submissions must use
the LaTeX (preferred) or Word styles found here. LaTeX submissions should
use the acmart.cls template (sigconf option), with the default 9-pt font.
This format will be used also for the camera-ready version of
accepted papers. Authors must make a good faith effort to anonymize their
submissions. 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
conference submission system.

Papers that describe experiments on human subjects, or that analyze
nonpublic data derived from human subjects (even anonymized data), should
briefly describe how the research protocol addresses ethical considerations
and whether their work was vetted by an ethics review (e.g., IRB approval).
We expect authors to follow the rules of their host institutions around
data collection and experiments with human subjects.

Accepted submissions will be available on the ACM digital library at most
two weeks before the conference.
Please visit: https://sensys.acm.org/2021/ <http://sensys2021.dei.uc.pt/>

*Organization*

  - General Chairs: Jorge Sá Silva (University of Coimbra), Fernando
  Boavida (University of Coimbra)
  - General Vice-Chair: André Rodrigues (Polytechnic Institute of Coimbra)
  - Program chairs: Rong Zheng (McMaster University), Andrew Markham
  (University of Oxford)

______________________________________________________________
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