The International Conference on Embedded Wireless Systems and Networks (EWSN) is a highly selective single-track international conference focusing on the latest research in embedded systems and wireless networking and their role as key enablers for visionary scenarios such as the Internet of Things and Cyber-Physical Systems. EWSN invites recent research on networked sensor systems and platforms, the Internet of Things, embedded/edge machine learning, and novel sensor network applications.
Feature Topic: Sustainable Embedded Intelligence

While the conference welcomes all papers within the scope described above, this year’s edition of EWSN will also highlight a feature topic in Sustainable Embedded Intelligence - an area at the convergence of ultra-low-power AI hardware design, energy-efficient AI algorithms, and reliable low-power communications. This rapidly evolving field is essential for realizing long-lasting, autonomous, and reliable wireless sensor network systems. We especially welcome contributions at the boundary of chip-level innovation and system-level performance, allowing our community to directly engage the expertise and high-tech ecosystem of our host city, a renowned international hotspot for microelectronics.

Specific topics for the conference include (but are not exclusively limited to):

    Sustainable Embedded Intelligence: Boundary between chip-level innovation and system-level performance
    Applications of wireless embedded networks: Health, automation, manufacturing, transportation, smart cities, etc.
    Communication and networking for wireless and embedded systems
    Computing architectures for networked embedded systems
    Dependability in wireless systems, including reliability, availability, safety, and real-time guarantees
    Edge-cloud solutions for networked embedded systems
    Edge/embedded intelligence paradigms, models, and techniques for networked embedded systems
    Embedded systems for joint sensing and communication with mmWave, Terahertz, Wi-Fi, visible light, etc.
    Empirical studies, measurement, deployment, and experience reports
    Experiences, challenges, comparisons of platforms
    Foundational models: Sensor data analytics, distillation to edge platforms
    Localization, synchronization, RFID, and RF sensing
    Machine learning: Deep, federated and multimodal learning on sensor data
    Machine learning: Computer vision, natural language processing for resource-constrained and mobile platforms
    Modeling, simulation, and measurement tools for wireless systems
    New hardware and system design to enable machine learning on sensor data
    Next-generation/novel wireless networks, including 6G, Wi-Fi HaLow, NearLink
    Operating systems, middleware, and services for networked embedded systems
    Privacy and security in networked embedded systems and applications
    Processing, storage, and management of data in embedded wireless networks
    Sensor data processing for augmented and virtual reality applications
    Wearable systems and data processing algorithms

The conference will accept two types of papers – Full Papers (max 12 pages) and Short Papers (max 6 pages). Short papers are intended to present preliminary research results or advocate for new research directions; their titles should be prepended with one of the following: “Vision paper:”, “Position paper:”, or “WiP paper:” when they are submitted for review. Authors should carefully consider the distinction between Full Papers and Short Papers; papers submitted in one category will not be considered in the other category.