Digital Around the World

IoT Week 2023 continues to explore the latest digital technologies and trends shaping societies and businesses toward the creation of sustainable, data-driven global economies. Berlin will host industry and academic experts from around the world to share best practice examples and jointly explore challenges and barriers that the research and innovation ecosystem has to address on the path toward the achievement of the UN Sustainable Development Goals.

The Things Conference is the world's largest conference that revolves around LoRaWAN, an LPWAN protocol. The conference provides a plethora of information on LoRaWAN through 90+ curated keynotes, 20+ engaging seminars, and live product demonstrations. Make sure to join 1500 other IoT professionals and 70+ industry front-runners in this exclusive LoRaWAN event.

5th International Conference on Internet of Things (CIoT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Device-free wireless sensing has recently attracted a lot of attention thanks to its non-intrusive and sensor-free nature. Contrary to the traditional sensor-based and wearable sensing, wireless sensing does not need any sensors but leverages the signal distortions and machine learning algorithms for sensing. Moreover, wireless signals can propagate through walls which allows sensing to be performed even in non-line-of sight (NLOS) scenarios which increases the sensing coverage over camera-based systems. Different types of wireless signals have been employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic signals. As wireless signals bounce off of physical objects within the environment such as static objects like walls or furniture as well as any humans in the environment, their characteristics (e.g., amplitude, phase) change uniquely. This then provides an opportunity to sense the environment and obtain contextual information (e.g., recognizing the motion) through a fine-grained analysis of signal variations. Wireless sensing has been considered in various applications including but not limited to localization, human activity and gesture recognition, gait estimation, fall detection, respiration monitoring and crowd counting.