Sea Route Monitoring System Using Wireless Sensor Network Based on the Data Compression Algorithm

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 co...

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Vydáno v:China communications Ročník 11; číslo 1; s. 179 - 186
Hlavní autoři: Li, Yang, Zhang, Zhongshan, Huangfu, Wei, Chai, Xiaomeng, Zhu, Xinpeng, Zhu, Hongliang
Médium: Journal Article
Jazyk:angličtina
Vydáno: China Institute of Communications 2014
Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, School of Computer and Communication Engineering, University of Science and Technology Beijing, China%Information Security Center, Beijing University of Posts and Telecommunications Beijing, China
Témata:
Algorithm design and analysis
Clustering algorithms
Data compression
Monitoring
Principal component analysis
sea route monitoring
Vector quantization
wireless sensor network
Wireless sensor networks
传感器节点
历史数据
数据压缩算法
无线传感器网络
监控系统
矢量量化
自适应时间
航道
data compression
sea route monitoring
principal component analysis
wireless sensor network
ISSN:1673-5447
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Shrnutí: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.
Bibliografie:wireless sensor network; sea route monitoring; data compression; principal component analysis
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.
11-5439/TN
ISSN:1673-5447
DOI:10.1109/CC.2014.7022543