Data Flow Management

data flow in a mesh network, the efficiency and reliability of data flow depend on key principles of transport, synchronization, and routing to optimize data flow in such environments, follow these best practices leverage multiple transports use a mix of wi fi, bluetooth le, and websocket based on device capabilities and network conditions this ensures flexibility, resilience, and continuous connectivity, even in low bandwidth environments minimize latency with localized syncing employ lan and peer to peer wi fi for local syncing, reducing the need to send data over long distances unnecessarily this helps conserve bandwidth and improve responsiveness use flood fill for data propagation implement the flood fill process, where data is transmitted via multiple hops across peers this ensures data consistency across the mesh, particularly in offline first scenarios, where peers might intermittently lose network connectivity optimize with the multiplexer make use of an intelligent multiplexer that seamlessly switches between transports without duplicating data this feature maximizes bandwidth efficiency and prevents data loss during transitions ensure conflict free synchronization design systems that resolve concurrency conflicts using version vectors and metadata databases this guarantees eventual consistency among peers, especially when dealing with asynchronous updates for more information, see https //docs ditto live/sync/concepts/mesh networking 101