摘要
随着传感器网络技术的发展,传感器被广泛地应用到各个领域。由于传统的传感器数据采集采用串行采集算法,采集速率较低,严重影响了整个传感器网络的效率。针对此问题,本文提出了一种并行的高频数据采集算法,批量进行数据采集,并改进了设备响应等待时间机制。通过大量的实验数据进行对比分析及可视化处理,并进行验证分析,最终结果表明该算法在保证数据采集正确率的同时,大幅提高了数据采集的速率,并且数据采集的对象越多,提高的越明显。
With the development of sensor network technology, sensors have been widely used in various fields.Because almost all of the traditional sensor data acquisition algorithm adopt the idea of serial processing, the acquisition rate is low, which seriously affects the efficiency of the whole sensor network.In view of this problem, this paper proposes a high frequency data acquisition algorithm byparallel processing. Deal with acquisition data by batch, and also improve the response time mechanism of device. Comparative analysis and visualization through a large number of experimental data are also did, so as the verifying analysis. It turned out that the rate of data acquisition is raised significantly meanwhile ensure the accuracy of data acquisition. Further, the more of the objects that are gathered, the more obvious that the rate of data acquisition is improved.
作者
王续澎
郭忠文
刘颖健
刘石勇
王玺
WANG Xu-Peng;GUO Zhong-Wen;LIU Ying-Jian;LIU Shi-Yong;WANG Xi(College of Information Science & Engineering,Ocean University of China,Qingdao 266100,China)
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2019年第5期116-121,共6页
Periodical of Ocean University of China
基金
国家自然科学基金项目(61379127)资助~~
关键词
传感器网络
并行
数据采集
高频
sensor network
parallel
data acquisition
high frequency
