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AuthorHan, Guangjie
AuthorShen, Songjie
AuthorWang, Hao
AuthorJiang, Jinfang
AuthorGuizani, Mohsen
Available date2020-05-14T09:55:44Z
Publication Date2019
Publication NameIEEE Transactions on Vehicular Technology
ResourceScopus
ISSN189545
URIhttp://dx.doi.org/10.1109/TVT.2019.2914586
URIhttp://hdl.handle.net/10576/14829
AbstractThe past years have seen a rapid development of autonomous underwater vehicle-aided (AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The use of AUVs efficiently reduces energy consumption of sensor nodes. However, all AUV-aided solutions face severe problems in data collection delay, especially in a large-scale network. In this paper, to reduce data collection delay, we propose a prediction-based delay optimization data collection algorithm (PDO-DC). On the contrary to the traditional delay optimization algorithms, Kernel Ridge Regression (KRR) is utilized via cluster member nodes to obtain the corresponding prediction models. Then, the AUV can obtain all cluster data by traversing less cluster head nodes, which can effectively reduce the collection delay of the AUV. The experimental results demonstrate that the proposed method is both feasible and effective. - 2019 IEEE.
SponsorManuscript received December 10, 2018; revised March 19, 2019; accepted April 27, 2019. Date of publication May 2, 2019; date of current version July 16, 2019. The work was supported in part by the National Key Research and Development Program, 2018YFC0407900 and in part by the National Natural Science Foundation of China under Grants 61572172, 61602152, and 61872124, and in part by the Open Fund of State Key Laboratory of Acoustics under Grant SKLA201901. The review of this paper was coordinated by Dr. P. Lin. (Corresponding author: Guangjie Han.) G. Han and S. Shen are with the Department of Information and Communication Systems, Hohai University, Changzhou 213022, China (e-mail: hanguangjie@gmail.com; shensongjiehhuc@outlook.com).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAUV-aided
data collection delay
prediction
UASNs
TitlePrediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
TypeArticle
Pagination6926-6936
Issue Number7
Volume Number68


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