Conference Information
IPSN 2020: International Conference on Information Processing in Sensor Networks
http://ipsn.acm.org/2020
Submission Date:
2019-10-16
Notification Date:
2020-01-10
Conference Date:
2020-04-21
Location:
Sydney, Australia
Years:
19
CCF: b   CORE: a*   QUALIS: a1   Viewed: 16692   Tracked: 50   Attend: 3

Conference Location
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Call For Papers
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 19th 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 2020 continues its co-location with 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:

    Sensor data storage, retrieval, processing
    Coding, compression, and information theory
    Theoretical foundations and fundamental bounds
    Network and system architectures and protocols
    IoT gateway platform architecture and services
    Outdoor, wide-area, or crowdsourced sensing systems
    Localization, synchronization, RFID, and RF sensing
    Programming models, languages, and systems
    Programming models for IoT ensembles
    Modeling, simulation, and measurement tools
    Operating systems and runtime environments
    Applications in health, wellness & sustainability
    Applications in smart cities and urban health
    Experiences, challenges, comparisons of platforms
    Discovery, coordination, and use of IoT services
    Security and privacy
    IoT reliability, adaptability, and dependability
    Technical assessment of emerging IoT standards
    Wearable systems and data processing algorithms
    Sensor-enabled drone / autonomous vehicle platforms and algorithms
    Machine learning and deep learning on sensor data
    New hardware and system design to enable machine learning on sensor data
    Novel embedded machine learning algorithms
    Data related issues, such as methods, tools, and analysis
    Fairness, equity, and transparency issues in IoT and CPS
    Computer vision for resource-constrained and mobile platforms 

Research artifacts, such as code, data sets, and tools, are highly encouraged to be submitted or made available simultaneously with paper submission. For the first time this year, IPSN 2020 will have a "Best Research Artifact Award", given to the authors who have contributed the research artifact that is judged to be most novel, easy to use, well documented, and useful to advance research.

IPSN 2020 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://ipsn2020.hotcrp.com/ 
Last updated by Dou Sun in 2019-09-01
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2019912527.5%
2018822226.8%
20171041918.3%
20161172319.7%
20151082725%
20141112018%
20131152420.9%
20121472215%
20111222722.1%
20101172017.1%
20091172117.9%
20081263023.8%
20071702615.3%
20061652515.2%
20041452517.2%
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