The acronym RTPS stands for Real-Time Publish-Subscribe, short for a communication protocol conceived by fellows aiming at data exchange in several systems with real-time performance. Now RTPS was well developed as part of the Data Distribution Service, the DDS standard, in an effort to support the construction of a distributed communication model. Decentralized in nature, RTPS allows for registering multiple consumers of data - subscribers-to receive messages provided by one or more data producers, known as publishers, eliminating the need for a broker to exist. This architecture provides greater scalability and lower latency, which can be particularly useful in robotics, autonomous vehicles, and industrial automation applications. Important RTPS features are: Decentralized Architecture: RTPS is based on a peer-to-peer model that allows direct communication between publishers and subscribers. Bottlenecks associated with centralized systems are thereby eliminated, providing a more robust and efficient method of distributing data. Optimized for low-latency and high-throughput communication, the protocol will support the required real-time performance by having guaranteed message delivery based on priority and Quality of Service policies to ensure timely transfer of data, very important in time-sensitive applications. Scalability: RTPS can handle the high numbers of publishers and subscribers for extensive networks without performance degradation. Its design supports dynamic discovery of participants so that adaptation to change in network conditions can be done automatically without manual intervention. Interoperability: Being a part of the DDS standard, RTPS enables different systems and applications to communicate seamlessly to advance interoperability among platforms, programming languages, etc. Overall, RTPS is a very effective protocol for building those so-called distributed applications where the exchange of real-time data is required. Its design principles make it extremely attractive in developing efficient and scalable systems across a variety of domains. Read the full article