The field of wireless networking and localization is witnessing significant advancements, driven by the increasing demand for accurate and reliable location-based services. Researchers are exploring innovative approaches to improve the security and accuracy of wireless networks, including the use of ultra-wideband (UWB) technology and machine learning algorithms. Notably, the development of Automated Frequency Coordination (AFC) systems and the integration of UWB functionality in smartphones and smartwatches are enabling new applications such as arm pose estimation and indoor positioning. Furthermore, empirical evaluations of 5G transparent clocks are demonstrating the potential for high-accuracy time synchronization in industrial IoT and Industry 4.0/5.0 applications. Noteworthy papers include: GPS Spoofing Attacks on Automated Frequency Coordination System in Wi-Fi 6E and Beyond, which highlights critical gaps in the security assumptions of AFC systems. SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data, which demonstrates accurate arm pose estimation using off-the-shelf devices. Empirical Evaluation of a 5G Transparent Clock for Time Synchronization in a TSN-5G Network, which shows promising results for high-accuracy time synchronization in industrial IoT applications.