• P. Srilatha

Integrating 6G networks with artificial intelligence and Internet of Things (AIoT) systems has become an important area in future. The main objectives of the study were to identify the challenges and opportunities of combining 6G and AIoT, proposing innovative solutions, and contributing to the development of 6G-powered AIoT technologies It explores various aspects of 6G-powered AIoT, including network architecture and protocols, resource management, security and privacy and potential applications in various fields. The need for faster and more dependable wireless communication networks has encouraged the development of 6G networks. It explores the integration of Mobile Edge Computing (MEC) cloud architectures and the potential of self-driving Vehicle-to-Everything (V2X) communication to achieve ultra-low latency and high dependability in 6G networks. By integrating MEC into the 6G network fabric, latency is reduced by bringing data processing closer to end-users, particularly vehicles, thus enhancing computational capabilities at the network's edge. It explores the life changing potential of the merging of 6G networks, the Internet of Things (IoT), and Artificial Intelligence (AI) in creating advanced, interconnected ecosystems. Its role in facilitating ultra-high-speed, low-latency communications essential for the IoT's expansive growth.

6G network integration for ultra-low latency

"6G network integration for ultra-low latency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.470-490, May-2025, Available :http://www.jetir.org/papers/JETIRGV06070.pdf

"6G network integration for ultra-low latency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp470-490, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06070.pdf