23. GI/ITG KuVS

Call for Papers

Sensor networks—such as those used for the Internet of Things (IoT) or Cyber-Physical Systems (CPS)—hold immense relevance across various spheres of life. In the context of Industry 4.0, they facilitate the provision of information essential for seamless production, support machine maintenance to prevent downtime, and aid in the real-time tracking of goods. In Smart Cities, sensor networks are indispensable for intelligent, resource-efficient power supply systems, as well as for ensuring smooth traffic flow characterized by minimal congestion and, consequently, reduced CO2 emissions. The Smart Home environment relies entirely on sensor networks to deliver comfort and personal security. The field of eHealth, too, requires sensor networks to provide health-relevant information. Another key application area is highly automated driving, which necessitates ensuring the reliable operation of various sensors. Finally, sensor networks—along with the efficient acquisition and edge processing of sensor signals—are of significant interest for non-destructive testing applications. The challenges involved in realizing wireless sensor networks are both complex and extensive. Energy efficiency is most frequently cited as a primary concern, as it critically influences the operational lifespan of individual sensors and, by extension, the functional duration of the entire sensor network. Furthermore, sensor networks must be highly scalable and capable of self-configuration. Security measures and the availability of individual sensors are also of paramount importance. The "Sensor Networks" specialist workshop aims to present and discuss current technological developments—ranging from hardware and communication functionalities to specific applications. We welcome contributions that address novel aspects regarding the design, implementation, and analytical or simulation-based evaluation of sensor networks and their applications. In particular, we wish to provide doctoral candidates with a platform to present their research findings to the professional community.

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