DocumentCode :
619714
Title :
The application of maximum differential algorithm in adaptive ocean sampling
Author :
Qingchun Li ; Junwei Gao ; Sheng Guan ; Bin Zhang ; Ziwen Leng
Author_Institution :
Coll. of Autom. Eng., Qingdao Univ., Qingdao, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
328
Lastpage :
332
Abstract :
This paper presents a technique for adaptive ocean sampling using ocean sampling platforms equipped with multiple sensors. The virtual environment of 2D ocean sampling is established, so as to simulate the ocean sampling region by means of the sampling platforms. There are three important phases which can be written as collecting scientific data, drawing the sampling area, and utilizing the maximum differential algorithm (MDA) in ocean sampling. By analyzing the sampling data and using the maximum differential algorithm, the sampling platforms achieve the optimizing sampling path. The simulation results by adaptive ocean sampling of single sampling platform and multiple platforms show that the proposed approach is effective and feasible. This method can be applied to conduct the moving direction based on the ocean sampling platforms.
Keywords :
autonomous underwater vehicles; oceanographic techniques; optimisation; sampling methods; sensor fusion; 2D ocean sampling; MDA; adaptive ocean sampling technique; maximum differential algorithm; multiple sensors; ocean sampling region simulation; sampling area; sampling data; sampling path optimization; scientific data collection; virtual environment; Adaptation models; Adaptive systems; Algorithm design and analysis; Oceans; Path planning; Sensors; Underwater vehicles; Adaptive sampling; Maximum differential algorithm; Ocean sampling platforms; Optimal sampling path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6560943
Filename :
6560943
Link To Document :
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