IPSN 2021 : International Symposium on Information Processing in Sensor Networks

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 20th 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 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 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