Overview
- Highlights the latest research on cognitive network-layer and smart adaptive physical-layer methods in underwater networks
- Paves the way for an Underwater Internet-of-Things standard
- Discusses a suitable foreground communication stack for mixed mobile/static network
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
This book summarizes the latest research on cognitive network-layer methods and smart adaptive physical-layer methods in underwater networks. Underwater communication requires extendable and delay-tolerant underwater acoustic networks capable of supporting multiple frequency bands, data rates and transmission ranges. The book also discusses a suitable foreground communication stack for mixed mobile/static networks, a technology that requires adaptive physical layer waveforms and cognitive network strategies with underlying cooperative and non-cooperative robust processes. The goal is to arrive at a universally applicable standard in the area of Underwater Internet-of-Things [ISO/IEC 30140, 30142, 30143].
The book is the second spin-off of the research project RACUN, after the first RACUN-book "Underwater Acoustic Networking Techniques" (https://link.springer.com/book/10.1007%2F978-3-642-25224-2)
Editors and Affiliations
Bibliographic Information
Book Title: Cognitive Underwater Acoustic Networking Techniques
Editors: Dimitri Sotnik, Michael Goetz, Ivor Nissen
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-662-61658-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2020
Softcover ISBN: 978-3-662-61657-4Published: 30 September 2020
eBook ISBN: 978-3-662-61658-1Published: 29 September 2020
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 2
Number of Pages: XI, 81
Number of Illustrations: 25 illustrations in colour
Topics: Acoustics, Communications Engineering, Networks, Models and Principles, Electronic Circuits and Devices