Cognitive Underwater Acoustic Networking Techniques: SpringerBriefs in Electrical and Computer Engineering
Editat de Dimitri Sotnik, Michael Goetz, Ivor Nissenen Limba Engleză Paperback – 30 sep 2020
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)
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Specificații
ISBN-13: 9783662616574
ISBN-10: 3662616572
Pagini: 81
Ilustrații: XI, 81 p. 25 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.15 kg
Ediția:1st ed. 2020
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662616572
Pagini: 81
Ilustrații: XI, 81 p. 25 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.15 kg
Ediția:1st ed. 2020
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
Overview and Definitions.- Distance estimation.- Data Muling.- Delay/Disruption Tolerant Networking.- Initial contact and JANUS.- Address assignment.- Adaptivity at the NET layer.- Adaptivity at the PHY layer.- Summary.
Textul de pe ultima copertă
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].
Caracteristici
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