Network coding is a rising paradigm for data transportation. It brings light to a prior dark area: that a node within a network can process information passing through it to make better use of the transmission capacity. This is a textbook aiming to introduce network coding to people with limited background in mathematics and/or engineering. The study of network coding interacts with various fields in engineering, mathematics, physics, even biology. For readers to form a rigorous understanding of network coding, relevent knowledge in mathematics, information theory, engineering etc. is integrated in this book.
== Preface ==
How to Use this Book
== Background Knowledge ==
Probability: Concepts and Useful Equations
== Chapters ==
Communication Model and Network ConceptsThis chapter gives the audience a general impression of a Shannon-Weaver communication model and a traditional network.
An Introduction to Network CodingThis chapter aims to introduce the general idea of network coding via butterfly network, and demonstrate its superiority.
Information Measure and Handy InequationsThis chapter introduces how to measure information, i.e. the concept of entropy and mutual information.
Max-flow BoundThis chapter focus on how to measure the performance of a network that implements coding.
Linear Network Coding: AcyclicThis chapter introduces the most well-known and well-established model of coding network: linear, acyclic with a single source.
A Brief Review of Probability
== Further Reading Suggestion ==
Network Coding and Cyber Security
Network Coding in Physical Layer
== References ==