A Novel Improved Gossip Algorithm for Blockchain Network

Abstract

One of the main concerns in blockchain (BC) systems is throughput growth. To solve this issue, several improvements and a new gossip algorithm are put forth; however, they are inevitably limited by the message synchronization latency of the underlying peer-to-peer (P2P) network. The current gossip algorithms still have certain drawbacks, such as high latency, low throughput, energy waste, and higher network connection requirements. A very effective BC gossip algorithm is necessary to reduce delivery latency and boost transaction throughput for BC systems. All transactions and activities are centrally stored in the distributed ledger, or BC. Bitcoin and other public blockchains emphasize decentralization, which necessitates high throughput and increases communication costs. Consequently, the hyperledger fabric BC technology employs the joint-graph based delegated practical byzantine fault tolerance (JG-DPBFT) consensus mechanism. The enhanced gossip algorithm (IGA) is used to finish consensus authentication and information exchange. NS-3 is used to implement the JG-DPBFT protocol, and its performance is assessed by contrasting it with other approaches. Consequently, the testing results demonstrated that the JG-DPBFT outperformed the current techniques in terms of throughput and latency.