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

• Published in: China communications Vol. 11; no. 1; pp. 179 - 186
• Main Authors: Li, Yang, Zhang, Zhongshan, Huangfu, Wei, Chai, Xiaomeng, Zhu, Xinpeng, Zhu, Hongliang
• Format: Journal Article
• Language: English
• Published: 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
• Subjects: 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
• DOI: 10.1109/CC.2014.7022543

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.