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Sampling optimization for networked underwater gliders
Liu SJ(刘世杰); Sun J(孙洁); Yu JC(俞建成); Zhang AQ(张艾群); Zhang FM(张福民)
Department水下机器人研究室
Conference NameOCEANS 2016 - Shanghai
Conference DateApril 10-13, 2016
Conference PlaceShanghai, China
Source PublicationOCEANS 2016 - Shanghai
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages1-4
Indexed ByEI ; CPCI(ISTP)
EI Accession number20162902613041
WOS IDWOS:000386521800167
Contribution Rank1
ISSN0197-7385
ISBN978-1-4673-9724-7
AbstractThis paper focuses on coverage sampling over a given region by a fleet of underwater gliders. The coverage performance is evaluated by the observing uncertainty performed by Objective Analysis (OA). Deployed gliders are commonly restricted to move through transects along which the data collected are convenient for data assimilation. We optimize the initial location and the initial heading of each glider that are deployed into an interested region by using Generic Algorithm (GA). Two cases of environmental sampling tasks are used for verifying the proposed approach.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/18770
Collection水下机器人研究室
Corresponding AuthorLiu SJ(刘世杰)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, United States
Recommended Citation
GB/T 7714
Liu SJ,Sun J,Yu JC,et al. Sampling optimization for networked underwater gliders[C]. Piscataway, NJ, USA:IEEE,2016:1-4.
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