Network-aware Source Coding and Communication

An introduction to the theory and techniques for achieving high quality network communication with the best possible bandwidth economy, this book focuses on network information flow with fidelity. Covering both lossless and lossy source reconstruction, it is illustrated throughout with real-world applications, including sensor networks and multimedia communications. Practical algorithms are presented, developing novel techniques for tackling design problems in joint network-source coding via collaborative multiple description coding, progressive coding, diversity routing and network coding. With systematic introductions to the basic theories of distributed source coding, network coding and multiple description coding, this is an ideal self-contained resource for researchers and students in information theory and network theory.

Table of Contents

Chapter 1 – Introduction
Part I – The lossless scenario
Chapter 2 – Lossless multicast with a single source
Chapter 3 – Lossless multicast of multiple uncorrelated sources
Chapter 4 – Lossless multicast of multiple correlated sources
Part II – The lossy scenario
Chapter 5 – Lossy source communication: an approach based on multiple-description codes
Chapter 6 – Solving the rainbow network flow problem
Chapter 7 – Continuous rainbow network flow: rainbow network flow with unbounded delay
Chapter 8 – Practical methods for MDC design
Chapter 9 – Using progressive codes for lossy source communication
Chapter 10 – Lossy communication of multiple correlated sources