网格网络中块图的分区鲁棒一致性算法

David Cordova Morales, P. B. Velloso, Alexandre Laubé, T. Nguyen, G. Pujolle
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引用次数: 3

摘要

针对移动自组织网络(MANET)和网状网络设计的区块链是一个新兴的研究课题,它必须处理网络分区问题。然而,区块链中使用的现有共识算法被设计为在具有可靠通信的完全连接的网络中工作。由于这种假设在移动无线网络中不再成立,我们在本文中描述了网络分区问题及其对区块链的影响。然后,我们提出了一种新的共识算法,称为网格共识(C4M),该算法的灵感来自RAFT作为解决这一问题的方法。C4M共识算法集成在Blockgraph中,这是一种用于MANET和mesh网络的区块链解决方案。我们在NS-3中实现了我们的解决方案,并通过仿真分析了其性能。仿真结果表明,心跳间隔和选举超时对leader选举时间有很大的影响,特别是在拓扑发生变化的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
C4M: A Partition-Robust Consensus Algorithm for Blockgraph in Mesh Network
Blockchain designed for Mobile Ad hoc Networks (MANET) and mesh networks is an emerging research topic which has to cope with the network partition problem. However, existing consensus algorithms used in blockchains have been designed to work in a fully connected network with reliable communication. As this assumption does not hold anymore in mobile wireless networks, we describe in this paper the problem of network partitions and its impact on blockchain. Then, we propose a new consensus algorithm called Consensus for Mesh (C4M) which inspires from RAFT as a solution to this problem. The C4M consensus algorithm is integrated in Blockgraph, a blockchain solution for MANET and mesh networks. We implemented our solution in NS-3 to analyze its performances through simulations. The simulation results show that the heartbeat interval and the election timeout have a great impact on the leader election time, especially in case of topology changes.
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