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在基于区块链的物联网数据共享中使用轻量级共识算法的性能提升.

Ehtisham Ul Haque1, Waseem Abbasi2, Ahmad Almogren3

  • 1Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, 22200, Islamabad, Pakistan.

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概括
此摘要是机器生成的。

这项研究提高了物联网 (IoT) 数据安全性,使用区块链与授权权益证明 (DPoS) 和分片. 该方法改善了受限制物联网网络的系统吞吐量和可扩展性.

关键词:
区块链 区块链 区块链 区块链共识算法共识算法数据存储数据的存储.物联网的物联网,就是物联网.平行执行并行执行.可扩展性 可扩展性碎片化 碎片化 破碎智能合约是一种智能合约.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 分布式系统 分布式系统

背景情况:

  • 物联网 (IoT) 设备产生大量数据,对集中式系统构成安全风险.
  • 区块链提供了分散的数据安全性,但在物联网中面临着性能和可扩展性挑战.
  • 现有的区块链共识协议努力平衡物联网的透明度,完整性和可扩展性.

研究的目的:

  • 为物联网 (IoT) 网络增强区块链技术的可扩展性和性能.
  • 在分散的物联网数据管理中解决传统共识机制的局限性.
  • 为基于区块链的物联网引入和评估一种结合Delegated Proof of Stake (DPoS) 和分片的新方法.

主要方法:

  • 实施授权权益证明 (DPoS) 的共识算法.
  • 整合分片技术以提高区块链网络容量.
  • 在不同负载下对系统吞吐量,延迟和交易处理时间进行实验性评估.
  • 与现有的基于边缘计算的方法进行比较.

主要成果:

  • 系统吞吐量与测试负载成比例增加.
  • 在吞吐量,延迟和星际文件系统 (IPFS) 上下游时间之间存在权衡.
  • 该DPOS和分片方法显示了高吞吐量,并行处理和强大的安全性.
  • 实现的最大吞吐量约为11.094ms,每秒500个交易 (TPS).
  • 处理时间超过2000 TPS,延长到11.205 ms,表明有效的扩展.
  • 与以前的边缘计算解决方案相比,更高的吞吐量性能.

结论:

  • 拟议的DPOS和分片方法显著提高了物联网网络的区块链可扩展性.
  • 这种方法为资源有限的物联网环境中安全和高效的数据管理提供了可行的解决方案.
  • 这些发现突显了DPOS在实现物联网应用的高吞吐量和并行处理方面的有效性.