Linked automobiles are revolutionizing the automotive business by offering drivers with superior options and capabilities that weren’t doable earlier than. Nevertheless, these automobiles face the problem of transmitting essential car knowledge in advanced community environments. To deal with this difficulty, this webinar presents a cutting-edge answer: MQTT messaging over the QUIC transport protocol and the way the mixture of those two can enhance connectivity and communication for related automobiles.
MQTT messaging is a light-weight, environment friendly, and scalable messaging protocol that’s extensively used within the Web of Issues (IoT) ecosystem. MQTT is especially fitted to low-bandwidth and high-latency networks, making it best for related automobiles. Nevertheless, the QUIC protocol can also be gaining traction attributable to its distinctive efficiency for typical IoV use circumstances. QUIC is a transport protocol that’s designed to enhance the efficiency of internet purposes in difficult community circumstances. By combining MQTT messaging with the QUIC transport protocol, related automobiles can profit from improved connectivity and communication, even in environments with restricted bandwidth and excessive community latency.With this modern answer, the automotive business can proceed to push the boundaries of what’s doable with related automobiles and ship a fair higher driving expertise for customers.
EMQ consultants will introduce the viewers to the advantages of utilizing MQTT messaging over the QUIC transport protocol for related automobiles. It should show how this mix may help overcome the challenges related to transmitting car knowledge in advanced community environments, and the way it can improve the general efficiency and reliability of related automobiles.
This webinar is good for: Builders, Engineering Groups, Challenge Managers within the IoV and IoT Industries
This webinar will cowl: Introduction to MQTT, introduction to QUIC, why MQTT over QUIC is nice for related automobiles, and message reliability in difficult environments.