基于超混沌数据调制的移动物联网数据稳定机制研究  

Research on Data Stabilization Mechanism of Mobile Internet of Things Based on Hyperchaotic Data Modulation Scheme

作　　者：刘东旭 LIU Dongxu(Department of Information Engineering,Chuzhou Vocational and Technical College,Chuzhou Anhui 239000,China)

机构地区：[1]滁州职业技术学院信息工程系,安徽滁州239000

出　　处：《重庆科技学院学报（自然科学版）》2020年第1期63-66,共4页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：2019年度安徽省高校科研立项课题“大数据技术在社区居家养老中的应用研究”(KJ2019ZD74);2019年度安徽省高校科研立项课题“基于人工智能技术的‘平安校园’智能安防系统研究与设计”(KJ2019A1136)。

摘　　要：针对移动物联网在5G环境下的数据稳定传输性能问题,提出了一种基于超混沌数据调制的数据稳定机制。鉴于5G环境下移动物联网节点信号预成型过程中具有信号正交特性,结合信号离散抽样方式,设计区域信号超混沌数据调制机制,以提高节点数据传输强度,减缓信道噪声引发的信道碰撞。根据功率信号传输过程具有的分区特性,计算节点能量聚类,并结合周期采样方式设计功率阈值,稳定网络对数据传输的稳定控制性能,克服传输过程中节点功率受限问题。仿真实验表明:相比当前非对称数据传输方案和轻量级加密传输方案,实施所提出的算法则链路抖动频率更低、数据传输带宽更高。In order to improve data stable transmission performance of mobile Internet of Things in 5G environment,a data stabilization mechanism based on hyperchaotic data modulation is proposed.Firstly,considering the orthogonal characteristics of signals in the process of signal pre-shaping of mobile Internet of Things nodes in 5G environment,a hyperchaotic data modulation mechanism of regional signals is designed based on signal discrete sampling method to improve the data transmission intensity of nodes and alleviate the channel collision caused by channel noise.Then,according to the partition characteristics of power signal transmission process,node energy clustering is calculated,and combined with periodic sampling method,power threshold is designed to stabilize the stable control performance of the network for data transmission and improve the power constraints of nodes in the transmission process.The simulation results show that compared with the current asymmetric data transmission scheme and lightweight encrypted transmission scheme,the proposed algorithm has lower link jitter frequency and higher data transmission bandwidth.

关 键 词：移动物联网 数据传输 超混沌控制 信道碰撞 正交信号 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]