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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在移动边缘计算环境中基于区块链的分散和主动缓存策略.

Jingpan Bai1, Silei Zhu1, Houling Ji1

  • 1School of Computer Science, Yangtze University, Jingzhou 434023, China.

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概括
此摘要是机器生成的。

一个基于区块链的新策略通过改进分散的安全数据缓存来增强移动边缘计算 (MEC). 这种主动缓存方法优化了节点实用性,减少了延迟并提高了智能物联网环境中的缓存命中率.

关键词:
区块链区块链区块链区块链区块链缓存 (caching) 是一种缓存.分权化,去中心化.移动边缘计算移动边缘计算智能合约是一个智能合约.

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科学领域:

  • 移动边缘计算 (MEC) 是指移动边缘计算.
  • 区块链技术 区块链技术
  • 物联网 (IoT) 安全 安全 物联网

背景情况:

  • 在MEC中边缘缓存对于智能场景中的及时数据响应至关重要.
  • 有限的边缘节点存储和恶意行为给分散的安全数据缓存带来了挑战.
  • 现有的缓存策略在缓存空间,节点实用性和延迟之间的权衡中扎.

研究的目的:

  • 为MEC环境提出基于区块链的去中心化和主动缓存策略.
  • 解决选择缓存内容和确保安全数据缓存的挑战.
  • 优化基于节点实用性的缓存决策,同时管理权衡.

主要方法:

  • 开发了一个主动的缓存策略,利用区块链为安全的MEC环境.
  • 制定了一个基于节点实用程序的缓存策略的优化问题.
  • 采用线性放松和内部点方法来实现最佳的缓存策略.
  • 利用离线共识身份验证方法来缓解区块链共识延迟.

主要成果:

  • 拟议的算法显著降低了延迟,并确保了安全的数据缓存.
  • 与随机缓存相比,缓存的成功率提高了49.32%.
  • 在平均内容响应延迟中显示了高达43.11%的减少.
  • 与随机缓存相比,平均系统实用性的增加高达34.85%.

结论:

  • 基于区块链的去中心化主动缓存策略有效地提高了MEC的性能.
  • 这种方法成功地平衡了缓存空间,节点实用和延迟.
  • 模拟结果验证了算法在物联网环境中优于现有方法的优势.