19th ACM/IEEE Information Processing in Sensor Networks, Sydney, Australia,

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