Localization in Underwater Sensor Networks
暫譯: 水下感測網路中的定位技術

Yan, Jing, Zhao, Haiyan, Meng, Yuan

Localization in Underwater Sensor Networks
  • 出版商: Springer
  • 出版日期: 2021-10-28
  • 售價: $6,780
  • 貴賓價: 9.5 折 $6,441
  • 語言: 英文
  • 頁數: 226
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811648301
  • ISBN-13: 9789811648304
  • 相關分類: 感測器 Sensor

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 of USN 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, stratification effect, privacy preserving and attack detection are considered respectively and corresponding localization schemes are developed. Lastly, the book's rich implications provide guidance on the design of future USN localization schemes.
The results in this book reveal from a system perspective that underwater localization accuracy is closely related to the communication protocol and optimization estimator. Researchers, scientists and engineers in the field of USNs can benefit greatly from this book, which provides a wealth of information, useful methods and practical algorithms to help understand and explore the ocean.

商品描述(中文翻譯)

海洋覆蓋了地球表面的70.8%，在支持地球上所有生命方面扮演著重要角色。然而，超過80%的海洋體積仍然未被繪製地圖、觀察或探索。在這方面，水下感測器網路（Underwater Sensor Networks, USNs）提供了無處不在的計算、高效的通信和可靠的控制，成為理解和探索海洋的有前景的解決方案。為了支持USNs的應用，需要從感測器節點獲取準確的位置資訊，以正確分析和解釋所採樣的數據。然而，USNs的開放性和弱通信特性使得水下定位相比於地面感測器網路更加具有挑戰性。

在本書中，我們專注於USNs中的定位問題，考慮到水下環境的獨特特性。這個問題相當重要，因為目前對於USN定位的設計和分析的基本指導非常有限。為此，我們首先介紹USNs的網路架構，並簡要回顧之前對USNs定位的研究方法。接著，我們分別考慮非同步時鐘、節點移動性、分層效應、隱私保護和攻擊檢測，並開發相應的定位方案。最後，本書的豐富啟示為未來USN定位方案的設計提供指導。

本書的結果從系統的角度揭示，水下定位的準確性與通信協議和優化估計器密切相關。USNs領域的研究人員、科學家和工程師可以從本書中獲益良多，因為本書提供了大量資訊、有用的方法和實用的演算法，幫助理解和探索海洋。

作者簡介

Jing Yan received the B.Eng. degree in Automation from Henan University, Kaifeng, China, in 2008, and the Ph.D. degree in Control Theory and Control Engineering from Yanshan University, Qinhuangdao, China, in 2014. In 2014, he was a Research Assistant with the Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China. From January 2016 to September 2016, he was a Postdoc with University of North Texas, Denton, US. From October 2016 to January 2017, he was a Research Associate with University of Texas at Arlington, Arlington, US. Currently, he is an Associate Professor with Yanshan University, Qinhuangdao, China. Meanwhile, he is also an Associate Editor for IEEE Access. His research interests cover in underwater acoustic sensor networks, networked teleoperation systems, and cyber-physical systems. He has published more than 80 peer-reviewed papers in leading academic journals and conferences. He has also received numerous awards, including the Excellence Paper Award from the National Doctoral Academic Forum of System Control and Information Processing in 2012, the Outstanding Doctorate Dissertation of Hebei Province in 2015, the Excellence Paper Award from the National Doctoral Academic Forum of System Control and Information Processing in 2012, the Youth Talent Support Program of Hebei Province in 2019, the Outstanding Young Foundation of Hebei Province in 2020, and the Excellence Adviser from Oceanology International Underwater Robot Competition in 2017.

Haiyan Zhao received the B.S. degree in Automation from Yanshan University, in 2017. Currently, she is pursuing the Ph.D. degree in Control Theory and Control Engineering at Yanshan University, Qinhuangdao, China. Her research interests cover in underwater acoustic sensor networks and autonomous underwater vehicle. She won the national scholarship in 2019 and presided over Postgraduate Innovation Fund Project of Hebei in 2019.

Yuan Meng received the B.S. degree in Measurement and Control Technology and Instruments from Liaoning Technical University, Huludao, China, in 2019. Currently, she is pursuing the Ph.D. degree in Control Theory and Control Engineering at Yanshan University, Qinhuangdao, China. Her research interests include localization of underwater sensor networks and networked underwater robot control. Besides that, she won the national scholarship in 2021 and presided over Postgraduate Innovation Fund Project of Hebei in 2021.

Xinping Guan received the B.S. degree in applied mathematics from Harbin Normal University, Harbin, China, in 1986, and the M.S. degree in applied mathematics and the Ph.D. degree in electrical engineering from the Harbin Institute of Technology, Harbin, in 1991 and 1999, respectively. He is currently a Chair Professor with Shanghai Jiao Tong University, Shanghai, China. He has authored and/or co-authored four research monographs, more than 270 papers in IEEE and other peer-reviewed journals, and numerous conference papers. His current research interests include industrial cyber-physical systems, wireless networking and applications in smart city and smart factory, and underwater sensor networks. Dr. Guan was a recipient of the National Outstanding Youth Honored by the NSF of China, the Changjiang Scholar by the Ministry of Education of China, and the State-Level Scholar of New Century Bai Qianwan Talent Program of China. He is an Executive Committee member of the Chinese Automation Association Council and the Chinese Artificial Intelligence Association Council.


作者簡介(中文翻譯)

閻京於2008年獲得中國開封的河南大學自動化學士學位，並於2014年獲得中國秦皇島的燕山大學控制理論與控制工程博士學位。2014年，他在中國上海交通大學教育部系統控制與信息處理重點實驗室擔任研究助理。從2016年1月到2016年9月，他在美國德克薩斯州的北德克薩斯大學擔任博士後研究員。從2016年10月到2017年1月，他在美國德克薩斯州阿靈頓大學擔任研究助理。目前，他是中國秦皇島的燕山大學副教授。同時，他也是《IEEE Access》的副編輯。他的研究興趣包括水下聲學傳感器網絡、網絡化遙操作系統和網絡物理系統。他在領先的學術期刊和會議上發表了80多篇經過同行評審的論文。他還獲得了多項獎項，包括2012年系統控制與信息處理全國博士學術論壇的優秀論文獎、2015年河北省優秀博士論文、2012年系統控制與信息處理全國博士學術論壇的優秀論文獎、2019年河北省青年人才支持計劃、2020年河北省優秀青年基金和2017年國際海洋機器人競賽的優秀指導教師獎。

趙海燕於2017年獲得燕山大學自動化學士學位。目前，她正在中國秦皇島的燕山大學攻讀控制理論與控制工程博士學位。她的研究興趣包括水下聲學傳感器網絡和自主水下航行器。她於2019年獲得國家獎學金，並於2019年主持河北省研究生創新基金項目。

孟媛於2019年獲得中國葫蘆島的遼寧工業大學測控技術與儀器學士學位。目前，她正在中國秦皇島的燕山大學攻讀控制理論與控制工程博士學位。她的研究興趣包括水下傳感器網絡的定位和網絡化水下機器人控制。此外，她於2021年獲得國家獎學金，並於2021年主持河北省研究生創新基金項目。

關新平於1986年獲得中國哈爾濱的哈爾濱師範大學應用數學學士學位，並於1991年和1999年分別獲得哈爾濱工業大學應用數學碩士學位和電氣工程博士學位。他目前是中國上海交通大學的講座教授。他已經撰寫和/或合著了四本研究專著，發表了270多篇在IEEE及其他同行評審期刊上的論文，以及大量會議論文。他目前的研究興趣包括工業網絡物理系統、無線網絡及其在智慧城市和智慧工廠中的應用，以及水下傳感器網絡。關博士曾獲得中國國家自然科學基金的全國優秀青年獎、中國教育部的長江學者獎，以及中國新世紀百千萬人才工程的國家級學者。他是中國自動化學會理事會和中國人工智慧學會理事會的執行委員會成員。

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