-------- Weitergeleitete Nachricht -------- Betreff: ACM/IEEE IPSN 2023: Call For Papers Datum: Mon, 19 Sep 2022 15:56:54 -0500 Von: Stephen Xia sx2194@columbia.edu An: Stephen Xia stephen.xia@columbia.edu

Dear Colleagues,

Please accept our apologies if you receive multiple copies of this message.

*The ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) San Antonio, Texas USA, May 9-12, 2023* * * *Call for Papers* 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 pages, inclusive of figures, tables, and references, following the ACM primary article template https://www.acm.org/publications/proceedings-template. Papers are to be submitted at https://ipsn2023.hotcrp.com/ https://ipsn2023.hotcrp.com/. During the review process, the reviewers may anonymously communicate with the authors for clarifying questions.

Selected outstanding papers (up to 10) may be fast-tracked as a special section of ACM Transactions on Sensor Networks.

IPSN collaborates closely with the IoTDI conference https://conferences.computer.org/iotDI/2023/, given the proximity in research themes (both related to IoT) and the co-location in CPS-IoT Week. We provide submission guidelines https://ipsn.acm.org/joint_statement_IoTDI.html 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 https://www.acm.org/publications/policies/simultaneous-submissions. To foster a closer joint community, following the practice in recent years, we would invite quality submissions to switch between IoTDI and IPSN, in case we find fit and the authors agree.

*Key Dates* Paper Abstract Registration: October 24, 2022 11:59:59pm AoE Paper Submission Deadline: (Firm): October 31, 2022 11:59:59pm AoE Acceptance Notification: January 20, 2023

*Technical Program Committee* Akshay Gadre, University of Washington Bo Wei, Lancaster University Brano Kusy, CSIRO Carlee Joe-Wong, Carnegie Mellon University Chenren Xu, Peking University Chris Xiaoxuan Lu, University of Edinburgh Flora Salim, University of New South Wales Gang Zhou, William & Mary Guohao Lan, Delft University of Technology Guoliang Xing, The Chinese University of Hong Kong Jeremy Gummeson, University of Massachusetts, Amherst Jie Gao, Rutgers University Jie Xiong, University of Massachusetts, Amherst Jie Liu, Harbin Institute of Technology Jingxian Wang, Microsoft Research & National University of Singapore Jorge Ortiz, Rutgers University Kay Romer, TU, Graz Longfei Shangguan, University of Pittsburgh Maria Gorlatova (chair), Duke University Meng Jin, Shanghai Jiao Tong University Mi Zhang, The Ohio State University Mun Choon Chan, National University of Singapore Nikki Trigoni, University of Oxford Olga Saukh, TU, Graz Pat Pannuto, University of California, San Diego Polly Huang, National Taiwan University Rong Zheng, McMaster University Rui Tan, Nanyang Technological University Shahriar Nirjon, University of North Carolina at Chapel Hill Shijia Pan, University of California, Merced Stefanos Laskaridis, Samsung AI Center Cambridge Tao Gu, Macquarie University Tarek Abdelzaher, University of Illinois at Urbana Champaign Tingjun Chen, Duke University Wan Du, University of California, Merced Weitao Xu, City University of Hong Kong Wen Hu (Chair), University of New South Wales Xiaojiang Chen, Northwest University Yanyong Zhang, University of Science and Technology of China Yingying (Jennifer) Chen, Rutgers University Youngki Lee, Seoul National University Yuan He, Tsinghua University Yuanchao Shu, Microsoft Research

Thanks and Regards, Stephen Xia Jagmohan Chauhan Chenren Xu IPSN 2023 Publicity Chairs