Yan / Zhao / Meng Localization in Underwater Sensor Networks
1. Auflage 2021
ISBN: 978-981-16-4831-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 220 Seiten
Reihe: Wireless Networks
ISBN: 978-981-16-4831-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
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, 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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1 Introduction.- Chapter 2 Asynchronous Localization of Underwater Sensor Networks with Mobility Prediction.- Chapter 3 Asynchronous Localization of Underwater Sensor Networks with Consensus-Based Unscented Kalman Filtering.- Chapter 4 Reinforcement Learning Based Asynchronous Localization of Underwater Sensor Networks.- Chapter 5 Privacy Preserving Asynchronous Localization of Underwater Sensor Networks.- Chapter 6 Privacy-Preserving Asynchronous Localization of Underwater Sensor Network with Attack Detection and Ray Compensation .- Chapter 7 Deep Reinforcement Learning Based Privacy-Preserving Localization of Underwater Sensor Networks.- Chapter 8 Conclusion and future perspective.