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/

IPSN collaborates closely with IoTDI conference, their relationship underpinned by exploring the topics related to IoT and their co-location in CPS-IoT Week. We provide submission guidelines to aid prosepective authors with the conference venue selection.

Important Dates
Paper Abstract Registration: 16 October 2019 11:59:59pm AoE
Paper Submission Deadline: (Firm*): 23 October 2019 11:59:59pm AoE
Acceptance Notification: 10 January 2020
Camera-Ready Deadline: 16 February 2020
CPS-IoT Week: 21-24 April 2020, in Sydney, Australia
*Please note the CPS-IoT WEEK policy for firm deadlines