[1]孟超,金龙,孙知信.大数据实时传输架构研究[J].计算机技术与发展,2019,29(05):38-43.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 008]
　MENG Chao,JIN Long,SUN Zhi-xin.Research on Big Data Real-time Transmission Architecture[J].,2019,29(05):38-43.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 008]
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大数据实时传输架构研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年05期
页码:
38-43
栏目:
智能、算法、系统工程
出版日期:
2019-05-10

文章信息/Info

Title:
Research on Big Data Real-time Transmission Architecture
文章编号:
1673-629X(2019)05-0038-06
作者:
孟超1; 金龙2; 孙知信1
1. 南京邮电大学 现代邮政学院,江苏 南京 210023;2. 圆通速递 物流大数据互通共享国家工程实验室,上海 201705
Author(s):
MENG Chao1; JIN Long2; SUN Zhi-xin1
1. School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;2. National Engineering Laboratory for Logistics Information Technology,YTO Express,Shanghai 201705,China
关键词:
大数据; 无线传感网; 物联网; 实时传输
Keywords:
big data; wireless sensor network; internet of things:real-time transmission
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 05. 008
摘要:
随着无线传感网的广泛应用,导致了大数据的爆炸式增长。 对此,提出了大数据传输方案,通过无线传感网络技术,构建了一个传感网节点实时定位跟踪仿真系统。 该系统利用感知节点实时采集定位数据和其他数据,通过无线链路将大数据传输给汇聚节点实时上报。 针对该方案中感知节点众多,采样数据量庞大,多个节点传输数据容易造成链路拥堵的问题,提出一种简单数据传输的相关性系数模型,在此基础上提出大数据传输的相关性系数模型,以减少冗余数据传输,降低能量消耗,在提高数据传输的效率同时避免网络拥堵。 实验结果表明,大数据相关性仿真传输模型性能可靠,数据传输及时,减少了冗余数据传输,有效降低了数据平均传输次数。
Abstract:
With the wide application of wireless sensor network,the big data has exploded. For this,we propose a big data transmission scheme and construct a real-time positioning and tracking simulation system of sensor network nodes by using wireless sensor network technology. The system uses sensing nodes to collect positioning data and other data in real time,and transmit big data to sink nodes through wireless links for real - time reporting. A correlation coefficient model for simple data transmission is proposed to solve the problem that there are many perceptive nodes,a large amount of sampled data and multiple nodes transmitting data are likely to cause link congestion. On this basis,a correlation coefficient model for big data transmission is proposed to reduce redundant data transmission and energy consumption, improve data transmission efficiency and avoid network congestion. The experiment shows that the big data correlation simulation transmission model is reliable in performance and timely in data transmission,reducing redundant data transmission, and effectively decreasing the average number of data transmission.

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更新日期/Last Update: 2019-05-10