Localization in underwater sensor networks / Jing Yan, Haiyan Zhao, Yuan Meng, Xinping Guan.
Yan, Jing, author.; Zhao, Haiyan, author.; Meng, Yuan, author.; Guan, Xinping, author.
2021
TK7872.D48 Y36 2021
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Localization in underwater sensor networks / Jing Yan, Haiyan Zhao, Yuan Meng, Xinping Guan.
Author Yan, Jing, author.
ISBN 9789811648311 (electronic bk.)
981164831X (electronic bk.)
9789811648304
9811648301
DOI https://doi.org/10.1007/978-981-16-4831-1
Published Singapore : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (xvii, 220 pages) : illustrations (some color)
Item Number 10.1007/978-981-16-4831-1 doi
Call Number TK7872.D48 Y36 2021
Dewey Decimal Classification 006.2/5
Summary Ocean covers 70.8% of the Earths surface, and it plays an important role in supporting all life on Earth. Nonetheless, more than 80% of the oceans 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 books 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 5, 2021).
Added Author Zhao, Haiyan, author.
Meng, Yuan, author.
Guan, Xinping, author.
Series Wireless networks (Springer (Firm)) 2366-1445
Available in Other Form Localization in underwater sensor networks.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Asynchronous localization of underwater sensor networks with mobility prediction
Async-localization of USNs with consensus-based unscented Kalman filtering
Reinforcement learning-based asynchronous localization of USNs
Privacy preserving asynchronous localization of USNs
Privacy-preserving asynchronous localization with attack detection and ray compensation
Deep reinforcement learning based privacy preserving localization of USNs
Future research directions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export