PBFT consensus propagation optimization method based on dynamic reputation value

Abstract

The invention discloses a PBFT consensus propagation optimization method based on a dynamic reputation value, and relates to the technical field of Internet of Things based on a blockchain. The PBFT consensus propagation optimization method comprises the following steps of: firstly, calculating comprehensive reputation values of gateway nodes; secondly, electing a pre-selected main node accordingto the comprehensive reputation values of the gateway nodes; thirdly, solving a PoW problem through competition by means of the pre-selected main node which becomes a main node, and creating a verification committee in an ad hoc network mode by broadcasting to the whole network; and finally, enabling member nodes in the committee to take part of the reputation values higher than a reward reputation value as stock rights to participate in a PBFT consistency protocol. According to the PBFT consensus propagation optimization method based on the dynamic reputation value, the performance of the consensus propagation verification process in the Internet of Things system based on the blockchain is improved, the nodes can be stimulated to actively participate in block verification, the block synchronization time is shortened, malicious nodes are prevented from counterfeiting transactions, the network security risk is reduced, and the security of the Internet of Things system is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things based on blockchain, in particular to a PBFT consensus propagation optimization method based on a dynamic reputation value. Background technique [0002] Optimizing consensus propagation refers to the key to avoid passive verification or free-riding of lazy nodes, and promote nodes to cooperate to forward transactions and actively verify in the blockchain-based Internet of Things transaction verification process. It can be roughly divided into two categories. The first category is to encourage miners to actively participate in the mining process in various cryptocurrencies such as Bitcoin. Nodes that broadcast and verify messages actively participating in network maintenance will obtain corresponding bookkeeping rights, and Give the specified token rewards. The other is to use the reward and punishment model to dynamically adjust the incentives of stakeholders, and determine the am...

AI Technical Summary

Problems solved by technology

However, the PBFT consensus algorithm also has many problems. For example, the calculation efficiency depends on the number of nodes participating in the agreement. It is not suitable for IoT systems with a large number of nodes, and its scalability is poor.

In addition, PBFT will not be able to achieve normal consensus during the master node election. If the elected Primary node cheats or malfunctions, it may cause continuous master election. During this period, the external service capability of the entire blockchain verification system will be greatly reduced or even unable to provide external services. Serve

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