| 王翠,马凤娟,崔海亭.基于区域时变聚类采样机制的物联网大数据传输算法[J].井冈山大学自然版,2019,40(5):34-39 |
| 基于区域时变聚类采样机制的物联网大数据传输算法 |
| LARGE DATA TRANSMISSION ALGORITHM OF INTERNET OF THINGS BASED ON REGIONAL TIME VARYING CLUSTERING SAMPLING MECHANISM |
| 投稿时间：2019-01-28 修订日期：2019-05-13 |
| DOI：10.3969/j.issn.1674-8085.2019.05.007 |
| 中文关键词: 物联网 大数据传输 分信道传输 抽样过滤 稳定聚类采样 链路抖动 几何聚类机制 |
| 英文关键词: Internet of things large data transfer sub-channel transmission sampling and filtering stable clustering sampling link jitter geometric clustering mechanism |
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| 摘要点击次数: 1515 |
| 全文下载次数: 1897 |
| 中文摘要: |
| 为解决传统物联网大数据传输算法存在的网络链路抖动频繁、传输能力受限以及传输误码率大的不足，提出了一种基于区域时变聚类采样机制的物联网大数据传输算法。首先，根据物联网信号发射中常用的LTE-5G信号特性，采取分信道传输及抽样过滤技术来实现数据传输过程中的正交化，消除节点间因信号频率相似而导致的干涉现象，提高网络数据传输效率；随后，几何聚类机制与能量-阈值映射裁决方法，构建了稳定聚类采样方法，利用功率最佳及能量最佳的方式来实现传输节点的筛选，强化传输链路的稳定性能，降低因链路抖动而导致误码的风险。仿真实验结果表明：与常见的超高斯频率漂移传输提升机制（Transmission Mechanism of Super Gauss Frequency Drift Transmission，SGFD-T机制）及拉普拉斯信道滤波传输机制Laplasse Channel Filtering Transmission Mechanism，LCF-T机制）相比，所提算法具有更大的上传带宽和更低的数据采集错误率与误码率。 |
| 英文摘要: |
| In order to solve the shortcomings of the traditional large data transmission algorithm of the Internet of Things, such as frequent link jitter, limited transmission capacity, high switching delay of nodes, and high transmission error rate, a large data transmission algorithm of the Internet of Things based on region time-varying clustering sampling mechanism is proposed. Firstly, according to the characteristics of LTE-5G signal commonly used in the signal transmission of the Internet of Things, sub-channel transmission and sampling filtering technology are adopted to realize the orthogonalization of transmission process, eliminate the interference phenomenon caused by signal frequency similarity between nodes, and improve the efficiency of network data transmission. Then, this paper constructs the clustering sampling stabilization process basing on clustering mechanism and energy-threshold mapping. And the transmission nodes are screened by the best power and energy mode, which greatly strengthens the stability performance of the transmission link and reduces the risk of error caused by link jitter. The simulation results show that compared with the common SGFD-T mechanism LCF-T mechanism, this algorithm has larger upload bandwidth, as well as lower data acquisition error rate and bit error rate. |
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