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利用5G技术进行智慧城市物联网可靠性分析的分解与重构算法

Decomposition and reconstruction algorithms for IoT reliability analysis utilizing 5G technology for smart cities.

作者信息

Li Chaoran

机构信息

College of Computer and Information Engineering, Hanshan Normal University, Chaozhou, 521041, China.

出版信息

Sci Rep. 2024 Jul 24;14(1):17020. doi: 10.1038/s41598-024-68149-5.

DOI:10.1038/s41598-024-68149-5
PMID:39043986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11266424/
Abstract

Internet of Things (IoT) and 5G communication technologies in smart cities deliver promising services for heterogeneous applications. The application reliability banks on uninterrupted and seamless services experienced by the users. However, the increasing smart city application demands influence the experience reliability through augmented wait times. This article therefore introduces a Coherent Reliability Service Broadcasting Technique (CRSBT) for sustaining constructive application services. This technique incorporates linear regressive and digressive learning for application service improvements and restrictions. Based on the demand, the regressive process verifies the wait time and with the reducing demands, the service broadcast ratio is verified. These two factors are verified post the demand and response through 5G resource allocations and IoT computations. Both the service-oriented features are validated for regressive service broadcast and either of the one is used for digressive response. The coherence between the computations (IoT) and resources (5G) is verified on-demand and linearly. Therefore, the proposed technique is reliable in sustaining service broadcast, less wait time, and maximum flexibility.

摘要

智慧城市中的物联网（IoT）和5G通信技术为异构应用提供了前景广阔的服务。应用的可靠性取决于用户体验到的不间断和无缝服务。然而，智慧城市应用需求的不断增加通过延长等待时间影响了体验可靠性。因此，本文介绍了一种用于维持建设性应用服务的相干可靠性服务广播技术（CRSBT）。该技术结合了线性回归和递减学习以改进和限制应用服务。根据需求，回归过程验证等待时间，随着需求的减少，验证服务广播比率。这两个因素在通过5G资源分配和物联网计算进行需求和响应之后得到验证。面向服务的这两个特性都针对回归服务广播进行了验证，并且其中任何一个都用于递减响应。计算（物联网）和资源（5G）之间的相干性按需进行线性验证。因此，所提出的技术在维持服务广播、减少等待时间和最大灵活性方面是可靠的。

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