Network Coding book cover

Network Coding

Fundamentals and Applications

Network coding is a field of information and coding theory and is a method of attaining maximum information flow in a network. This book is an ideal introduction for the communications and network engineer, working in research and development, who needs an intuitive introduction to network coding and to the increased performance and reliability it offers in many applications.

This book is an ideal introduction for the research and development communications and network engineer who needs an intuitive introduction to the theory and wishes to understand the increased performance and reliability it offers over a number of applications.

Audience

R&D Communications and network engineers, University researchers in communications and network engineering.

Hardbound, 352 Pages

Published: October 2011

Imprint: Academic Press

ISBN: 978-0-12-380918-6

Reviews

  • "Computer scientists, electrical engineers, and related professionals provide a tutorial introduction and survey of practical applications of network coding in various areas of networking and distributed computing. They write for researchers, practitioners, and graduate students who have a general background in networking but no prior exposure to network coding techniques or applications of network coding. The topics include harnessing network coding in wireless systems, network coding in the real world, network coding and user cooperation for streaming and download services in long term evolution networks, bounds and algorithms for secret and reliable communications, and network coding in disruption tolerant networks. Academic Press is an imprint of Elsevier."--Reference and Research Book News, October 2012


Contents

    1. 1. Introduction
      2. Network coding Fundamentals
      3. Harnessing Network Coding in Wireless Systems
      4. Overlay Networks
      5. Mobile Devices
      6. Network Coding for LTE
      7. Military ad-hoc networks
      8. Applications in Network security
      9. Data Compression
      10. Scaling Laws
      11. Tolerant Networks

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