A Data Compression Algorithm for the Sea Route Monitoring with Wireless Sensor Network

被引：2

作者：

Li, Yang ^{[1
]}

Xi, Shanni ^{[1
]}

Wei Huangfu ^{[1
]}

Zhang, Zhongshan ^{[1
]}

Zhang, Chunjiang ^{[2
]}

机构：

[1] Univ Sci & Technol Beijing, Beijing Engn & Technol Res Ctr Convergence Networ, Beijing 100083, Peoples R China

[2] Tianjin Maritime Safety Adm Peoples Republ China, Qinhuangdao Beacons, Tianjin 300000, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING (ISCC) | 2014年

关键词：

wireless sensor network; sea route monitoring; data compression; principal component analysis;

D O I：

10.1109/ISCC.2013.34

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The wireless sensor network plays a significant role in monitoring the environment near the harbour in order to inform the ships nearby out of dangers and to optimize the utilization of limited sea routes. Based on the historical data collected by the buoys with sensing capacities, a novel data compression algorithm named PCVQ is introduced to lower the budget of wireless communication subject to the constrains of data precision. The principal components of the sensing data are analyzed. With such principal components and statistics of the historical data, the optimal codebook is acquired by the technology of vector quantization. The on-line data are decomposed with the historical principal component coefficients, and then compressed according to the optimal codebook. The PCVQ algorithm is verified with the practical data in Qinhuangdao Port of China, which is a novel exploration in the sea route monitoring.

引用

页码：153 / 159

页数：7

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