Multi-path selection access algorithm and design of intelligent perception network model for blockchain-enabled CPSs

Qijie Qian, Yu'ao Wang, Hao She, Yongan Guo, Hongbo Sun
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引用次数: 0

Abstract

Blockchain-enabled cyber-physical systems (CPSs) are developed to provide the mass of Intelligent Object Terminal Equipment (IOTE). However, they cannot deal with the real-time control problem of perception. Hence, this paper studies the multi-type access methods and multi-path selective access algorithm of intelligent end devices in the local area network. The algorithm is proposed based on the multi-terminal collaboration technology. This network model provides a basis for realizing real-time awareness and optimal resource scheduling of IOTE. The model effectively alleviates the problem of state loss of IOTEs in the current local area. The experimental results show that the network model can effectively control the location and state of the IOTE in real time.
基于区块链的cps多路径选择访问算法及智能感知网络模型设计
开发支持区块链的网络物理系统(cps)以提供大量智能对象终端设备(IOTE)。然而,它们无法处理感知的实时控制问题。为此,本文研究了局域网中智能终端设备的多类型接入方法和多路径选择接入算法。该算法是基于多终端协作技术提出的。该网络模型为实现IOTE的实时感知和资源优化调度提供了基础。该模型有效地缓解了当前局部区域iote的状态丢失问题。实验结果表明,该网络模型可以有效地实时控制IOTE的位置和状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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