In deterministic networks, data flow refers to a set of data packets with specific temporal relationships, typically corresponding to specific application requirements. Each stream has its transmission time window and priority. Time aware scheduling is a key mechanism for flow synchronization. Through this scheduling, nodes in the network can transmit data according to predetermined timing requirements, ensuring mutual coordination and synchronization between various flows. Each stream transmits data within a specified time window, ensuring the timing of data transmission. Nodes ensure that they send or receive data at the correct time by following time aware scheduling, avoiding conflicts between flows.
Through flow synchronization and time aware scheduling mechanisms, the network ensures that data arrives according to predetermined timing requirements. This helps to prevent packet delay and disorder in the network, thereby improving temporal consistency. The goal of temporal consistency is to avoid conflicts and confusion between data streams. By ensuring that each stream is transmitted within a specified time window, the network can effectively coordinate the transmission of different streams, preventing packet collisions and intersections.
The flow synchronization mechanism ensures that nodes transmit data within the same time window by coordinating their operations. This synchronization helps to improve the reliability of the network, especially in scenarios that require collaborative operation of multiple nodes, such as industrial automation systems. Through these mechanisms, flow synchronization and temporal consistency not only ensure timely transmission of real-time data, but also help reduce communication latency and improve network performance. This is particularly crucial for applications that require high reliability and consistent timing, such as industrial control and vehicle networks.