The Application of Maximum Differential Algorithm in Adaptive Ocean Sampling

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.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 1456-1459
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.1456
• Online since: July 2014
• Authors: Ying Wang*, Chuan Sheng Wu, Yun Qiu Shi
• Keywords: Adaptive Sampling, Maximum Differential Algorithm, Ocean Sampling Platforms, Optimal Sampling Path

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