TY - GEN
T1 - A data compression algorithm for the sea route monitoring with wireless sensor network
AU - Li, Yang
AU - Xi, Shanni
AU - Wei, Huangfu
AU - Zhang, Zhongshan
AU - Zhang, Chunjiang
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2014/12/2
Y1 - 2014/12/2
N2 - 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.
AB - 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.
KW - data compression
KW - principal component analysis
KW - sea route monitoring
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=84919456006&partnerID=8YFLogxK
U2 - 10.1109/ISCC.2013.34
DO - 10.1109/ISCC.2013.34
M3 - Conference contribution
AN - SCOPUS:84919456006
T3 - Proceedings - 2013 International Conference on Information Science and Cloud Computing, ISCC 2013
SP - 153
EP - 159
BT - Proceedings - 2013 International Conference on Information Science and Cloud Computing, ISCC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 International Conference on Information Science and Cloud Computing, ISCC 2013
Y2 - 7 December 2013 through 8 December 2013
ER -