The ACM/IEEE 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 22nd 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 (IoT), machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of multiple of these areas.

IPSN 2023 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, RF sensing 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
        VLC and visible light based 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
        Sensor data processing for augmented and virtual reality applications
    Security and Privacy
        Security and privacy
        Fairness, equity, and transparency issues in IoT and CPS
    Machine Learning
        Machine learning, deep, federated and multimodal learning on sensor data
        New hardware and system design to enable machine learning on sensor data
        Computer vision / RF sensing / visible light based sensing for resource-constrained and mobile platforms
        Novel embedded machine learning algorithms

In addition to the established Best Paper Award, IPSN 2023 will 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.

IPSN 2023 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 single-spaced 8.5" x 11" pages with 9-pt font size in two-column format, inclusive of figures, tables, and references, following the ACM primary article template. LaTeX submissions should use the acmart.cls template (sigconf option), with the default 9-pt font. Papers are to be submitted at https://ipsn2023.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 2023 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.