The recent advancements in the field of wireless communication and IoT have shown a significant shift towards integrating sensing and communication functionalities, particularly in the context of UAVs and 6G networks. Innovations in drone technology, such as the development of neural network-based positioning systems for stable flight in confined spaces like air ducts, are expanding the practical applications of drones in inspection and maintenance. Additionally, the integration of smart antenna designs with existing WiFi protocols, as seen in Wi-Pro, is enhancing the communication and localization capabilities of IoT devices, addressing their power and resource limitations. Federated Learning frameworks are being explored to enable efficient anomaly detection in resource-constrained IIoT environments, demonstrating comparable performance to centralized models while addressing privacy concerns. Security in IoT devices is also advancing with the introduction of lightweight PUF-based authentication mechanisms that leverage neural networks and split learning, paving the way for secure integration into future 6G technologies. These developments collectively indicate a trend towards more integrated, efficient, and secure systems that leverage advanced machine learning techniques and innovative hardware solutions.