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Edge-Cut Bounds on Network Coding Rates

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TLDR
A new bound on communication rates is developed that applies to network coding, which is a promising active network application that has processors transmit packets that are general functions, for example a bit-wise XOR of selected received packets.
Abstract
Active networks are network architectures with processors that are capable of executing code carried by the packets passing through them. A critical network management concern is the optimization of such networks and tight bounds on their performance serve as useful design benchmarks. A new bound on communication rates is developed that applies to network coding, which is a promising active network application that has processors transmit packets that are general functions, for example a bit-wise XOR, of selected received packets. The bound generalizes an edge-cut bound on routing rates by progressively removing edges from the network graph and checking whether certain strengthened d-separation conditions are satisfied. The bound improves on the cut-set bound and its efficacy is demonstrated by showing that routing is rate-optimal for some commonly cited examples in the networking literature.

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Citations
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Dissertation

Guessing Games on Undirected Graphs

Anh Nhat Dang
TL;DR: A new result of the thesis is that Shannon’s information inequalities, which work particularly well for a wide range of graph classes, are not sufficient for computing the guessing number.

Network coding for line networks with broadcast channels

TL;DR: In this paper, an achievable rate region for line networks with edge and node capacity constraints and broadcast channels (BCs) is derived, where the BCs are orthogonal, deterministic, physically degraded, or packet erasure with one-bit feedback.
Proceedings ArticleDOI

Undirected Unicast Network Capacity: A Partition Bound

TL;DR: In this paper, an upper bound on the symmetric rate of information flow in undirected unicast networks is derived and an algorithm to compute it is presented. But the upper bound is tight and the capacity is achievable by routing.
Journal Article

When the vertex coloring of a graph is an edge coloring of its line graph - a rare coincidence.

TL;DR: For graphs G of minimum degree at least 2, denoting by L(G) the line graph of G, it is proved that there is a bijection between the 3-consecutive vertex colorings of G and the3- Consecutive edge coloring of L, which keeps the number of colors unchanged, too.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
Journal ArticleDOI

Network information flow

TL;DR: This work reveals that it is in general not optimal to regard the information to be multicast as a "fluid" which can simply be routed or replicated, and by employing coding at the nodes, which the work refers to as network coding, bandwidth can in general be saved.
Book

Flows in networks

TL;DR: Ford and Fulkerson as mentioned in this paper set the foundation for the study of network flow problems and developed powerful computational tools for solving and analyzing network flow models, and also furthered the understanding of linear programming.
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