[Announcements] Call for Papers: The 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

[Flavia Coimbra Delicato]

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May 4 -- 6, 2022, Milan, Italy

IPSN'22 is part of CPS-IoT Week 2022 (https://cpsiotweek.neslab.it/),
co-located with HSCC, ICCPS, IoTDI, and RTAS.

http://ipsn.acm.org/2022

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The International Conference on Information Processing in Sensor
Networks (IPSN) is the leading annual forum on research at the
intersection of networked embedded sensing, control, and systems
design. Now in its 21st year, IPSN has been at the forefront of the
development of today’s "smart" systems. IPSN brings together
researchers from academia, industry, and government to present and
discuss recent advances in both theoretical and experimental research
on all aspects of networked systems of sensors and actuators. Its
scope includes signal and image processing, information and coding
theory, databases and information management, distributed algorithms,
networks and protocols, wireless communications, collaborative
objects, the Internet of Things, machine learning, mobile and social
sensing, and embedded systems design. Of special interest are
contributions at the confluence of multiple of these areas.

IPSN 2022 is part of the CPS-IoT Week, the premier venue for research
and development of cyber-physical systems. IPSN is co-sponsored by
both the ACM and IEEE, and it continues to emphasize research that
bridges multiple research communities. IPSN is interested in all
aspects of sensor networks, ranging from traditional topics such as
networking to more recent developments such as embedded machine
learning and computer vision.

Topics of interest include, but are not limited to:

* Systems, Architectures, and Tools
== Sensor data storage, retrieval, processing
== Network and system architectures and protocols
== IoT gateway platform architecture and services
== Programming models, languages, and systems
== Programming models for IoT ensembles
== Modeling, simulation, and measurement tools
== Operating systems and runtime environments
== Discovery, coordination, and use of IoT services
== IoT reliability, adaptability, and dependability
== Technical assessment of emerging IoT standards

* Algorithms, Data, and Theory
== Localization, synchronization, RFID, and RF sensing
== Data related issues, such as methods, tools, and analysis
== Coding, compression, and information theory
== Theoretical foundations and fundamental bounds

* Applications
== Applications in health, wellness & sustainability
== Applications in smart cities and urban health
== Experiences, challenges, comparisons of platforms
== Sensor-enabled drone / autonomous vehicle platforms and algorithms
== Outdoor, wide-area, or crowdsourced sensing systems
== Wearable systems and data processing algorithms

* Security and Privacy
== Security and privacy
== Fairness, equity, and transparency issues in IoT and CPS

* Machine Learning
== Machine learning and deep learning on sensor data
== New hardware and system design to enable machine learning on sensor data
== Computer vision for resource-constrained and mobile platforms
== Novel embedded machine learning algorithms

******** Main Conference Awards ********

In addition to the established Best Paper Award, IPSN 2022 may provide
a Best Research Artifact Award to the authors who have contributed the
research artifact that is judged to be the most novel, easy to use,
well documented, and useful to advance research. Research artifacts,
such as code, data sets, and tools, are highly encouraged to be
submitted or made available simultaneously with paper submission.

******** Submission Process ********

IPSN 2022 accepts double-blind paper submissions which have not been
previously published. Posted technical reports (ArXiv or similar) do
not count as prior publication and do not violate the double-blind
requirement. Submitted manuscripts are up to 12 pages, inclusive of
figures, tables, and references, following the ACM master article
template. Papers are to be submitted at https://ipsn2022.hotcrp.com/.
During the review process, the reviewers may anonymously communicate
with the authors for clarifying questions.

IPSN collaborates closely with the IoTDI conference, given the
proximity in research themes (both related to IoT) and the co-location
in CPS-IoT Week. We provide submission guidelines to aid prospective
authors with the conference venue selection. In the meantime, we would
like to make explicit that double submission remains prohibited under
ACM's policy of Prior Publication and Simultaneous Submissions. In
2022 and to foster a closer joint-community, we would invite quality
submissions to one venue for publication at the other, in case we find
fit and the authors agree.

******** Key Dates ********

Paper Abstract Registration: October 22nd, 2021 11:59pm AoE (UTC-12)
Paper Submission Deadline: (Firm*): October, 29th 2021 11:59pm AoE (UTC-12)
Acceptance Notification: January 17th, 2022
IPSN Conference: May 4th -- 6th, 2022
CPS Week: May 3rd -- 6th, 2022

******** Organizers ********

* General Chair
Marilyn Wolf (University of Nebraska-Lincoln)

* Technical Program Committee Chairs
Yanyong Zhang (University of Science and Technology of China)
Nic Lane (University of Cambridge and Samsung AI)

* Technical Program Committee
Nova Ahmed, North South University
Muhammad Hamad Alizai, Lahore University of Management Sciences (LUMS)
Saurabh Bagchi, Purdue University
Yingying (Jennifer) Chen, Rutgers University
Jie Gao, Stony Brook University
Maria Gorlatova, Duke University
Jeremy Gummeson, University of Massachusetts -- Amherst
Tao Guoliang, Macquarie University
Yuan He, Tsinghua University
Josiah Hester, Northwestern University
Wen Hu, University of New South Wales and CSIRO
Polly Huang, National Taiwan University
Carlee Joe-Wong, Carnegie Mellon University
Brano Kusy, Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Stefanos Laskaridis, Samsung AI
Youngki Lee, Seoul National University
Mo Li, Nanyang Technological University
Chris Xiaoxuan Lu, University of Edinburgh
Anna Maria Mandalari, Imperial College London
Akhil Mathur, Nokia Bell Labs
Amy Murphy, Bruno Kessler Foundation
Klara Nahrstedt, University of Illinois Urbana -- Champaign
Jin Nakazawa, Keio University
Akshay Nambi, Microsoft Research
Jorge Ortiz, Rutgers University
Shijia Pan, University of California -- Merced
Pat Pannuto, University of California -- San Diego
Partha Roop, University of Auckland
Olga Saukh, TU Graz and CSH Vienna
Longfei Shangguan, Microsoft
Guoliang Xing, The Chinese University of Hong Kong
Wei Xi, Xi'an Jiaotong University
Chenren Xu, Peking University
Lina Yao, University of New South Wales
Shuochao Yao, George Mason University
Qian Zhang, Hong Kong University of Science and Technology
Rong Zheng, McMaster University

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