A scalable blockchain network model with transmission paths and neighbor node subareas

We propose a scalable blockchain P2P network transmission model. Using this model, data-transmitting nodes filter out the nodes that have received data according to the transmission path, thereby avoiding redundant forwarding. Furthermore, each K-bucket storing neighbor nodes is divided into multiple subareas, and neighbor nodes are evenly distributed to these subareas for reducing data-transmitting levels. Several redundant closer nodes transmit data to the target node for ensuring the target node receives the data. We analyzed the effective transmission rate, transmission efficiency and security of this model, and it shows that the performance of the data transmission improves.