书目名称 | Localization in Underwater Sensor Networks | 编辑 | Jing Yan,Haiyan Zhao,Xinping Guan | 视频video | http://file.papertrans.cn/588/587748/587748.mp4 | 概述 | Provides detailed instructions for underwater localization.Enriches readers’ understanding of localization in wireless networks.Shares many insights into underwater localization from a system perspect | 丛书名称 | Wireless Networks | 图书封面 |  | 描述 | Ocean covers 70.8% of the Earth’s surface, and it plays an important role in supporting all life on Earth. Nonetheless, more than 80% of the ocean’s volume remains unmapped, unobserved and unexplored. In this regard, Underwater Sensor Networks (USNs), which offer ubiquitous computation, efficient communication and reliable control, are emerging as a promising solution to understand and explore the ocean. In order to support the application of USNs, accurate position information from sensor nodes is required to correctly analyze and interpret the data sampled. However, the openness and weak communication characteristics of USNs make underwater localization much more challenging in comparison to terrestrial sensor networks..In this book, we focus on the localization problem in USNs, taking into account the unique characteristics of the underwater environment. This problem is of considerable importance, since fundamental guidance on the design and analysis ofUSN localization is very limited at present. To this end, we first introduce the network architecture of USNs and briefly review previous approaches to the localization of USNs. Then, the asynchronous clock, node mobility, stratif | 出版日期 | Book 2021 | 关键词 | Underwater sensor networks; localization; estimation; reinforcement learning; acoustic communication; mob | 版次 | 1 | doi | https://doi.org/10.1007/978-981-16-4831-1 | isbn_softcover | 978-981-16-4833-5 | isbn_ebook | 978-981-16-4831-1Series ISSN 2366-1186 Series E-ISSN 2366-1445 | issn_series | 2366-1186 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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