论文标题
基于证人的方法来扩展分布式分类帐至大规模的物联网场景
Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios
论文作者
论文摘要
分布式分类帐技术(DLT)在建立物联网(IoT)系统的安全性和信任方面发挥了重要作用。但是,具有大量设备的物联网部署,例如在环境监视应用程序中,生成和发送大量数据。这将产生大量必须在分布式分类帐中处理的交易。在这项工作中,我们首先证明了工作证明(POW)区块链无法在相当大的IoT连接基础架构中扩展。为了解决此问题,我们提出了一种轻巧的分布式分类帐计划,以将POW区块链整合到IoT中。在我们的计划中,我们将交易分为两种类型:1)全球交易,必须由全球区块链节点和2)本地交易进行处理,这些交易可以由称为证人的实体在本地处理。绩效评估表明,我们提出的计划通过处理交易的一部分,与本地证人数量成反比,改善了集成区块链和物联网监测系统的可扩展性。因此,减少了全球交易的数量。
Distributed Ledger Technologies (DLTs) are playing a major role in building security and trust in Internet of Things (IoT) systems. However, IoT deployments with a large number of devices, such as in environment monitoring applications, generate and send massive amounts of data. This would generate vast number of transactions that must be processed within the distributed ledger. In this work, we first demonstrate that the Proof of Work (PoW) blockchain fails to scale in a sizable IoT connectivity infrastructure. To solve this problem, we present a lightweight distributed ledger scheme to integrate PoW blockchain into IoT. In our scheme, we classify transactions into two types: 1) global transactions, which must be processed by global blockchain nodes and 2) local transactions, which can be processed locally by entities called witnesses. Performance evaluation demonstrates that our proposed scheme improves the scalability of integrated blockchain and IoT monitoring systems by processing a fraction of the transactions, inversely proportional to the number of witnesses, locally. Hence, reducing the number of global transactions.