Sea route monitoring system using wireless sensor network based on the data compression algorithm

Author

Li Yang ; Zhang Zhongshan ; Huangfu Wei ; Chai Xiaomeng ; Zhu Xinpeng ; Hongliang Zhu

Author_Institution

Beijing Eng. & Technol. Res. Center for Convergence Networks & Ubiquitous Services, Univ. of Sci. & Technol., Beijing, China

Volume

11

Issue

13

fYear

2014

fDate

Supplement 2014

Firstpage

179

Lastpage

186

Abstract

The wireless sensor network (WSN) plays an important role in monitoring the environment near the harbor in order to make 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 called adaptive time piecewise constant vector quantization (ATPCVQ) is proposed to utilize the principal components. The proposed system is capable of lowering the budget of wireless communication and enhancing the lifetime of sensor nodes subject to the constrain of data precision. Furthermore, the proposed algorithm is verified by using the practical data in Qinhuangdao Port of China.

Keywords

data compression; environmental monitoring (geophysics); marine communication; principal component analysis; ships; vector quantisation; wireless sensor networks; ATPCVQ; China; Qinhuangdao Port; WSN node; adaptive time piecewise constant vector quantization; buoys; data compression algorithm; data precision; environment monitoring; principal component; sea route monitoring system; ship; wireless sensor network; Algorithm design and analysis; Clustering algorithms; Data compression; Monitoring; Principal component analysis; Vector quantization; Wireless sensor networks; data compression; principal component analysis; sea route monitoring; wireless sensor network;

fLanguage

English

Journal_Title

Communications, China

Publisher

ieee

ISSN

1673-5447

Type

jour

DOI

10.1109/CC.2014.7022543

Filename

7022543