scispace - formally typeset
Open AccessJournal ArticleDOI

Edge-Cut Bounds on Network Coding Rates

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Improving Network Coding Based File Sharing for Unstructured Peer-to-Peer Networks

TL;DR: Simulation results show that the proposed network coding based file sharing system is better than others, when the network coding scheme and non-network coding scheme adopt the same network environment even though thenetwork coding is executed under a limited computation resource.
Proceedings ArticleDOI

Communication on line networks with deterministic or erasure broadcast channels

TL;DR: The capacity regions of line networks with node capacity constraints and broadcasting are derived when the broadcast channels are either deterministic or have erasures.
Proceedings ArticleDOI

Wireless networks with symmetric demands

TL;DR: It is shown that the approximate optimality continues to hold even for wireless networks modeled as directed graphs as long as there is a symmetric demand constraint: every demand from source si to sink ti at rate Ri has a counterpart demand from sources to sink nodes at the same rate.
Journal ArticleDOI

On the Multimessage Capacity Region for Undirected Ring Networks

TL;DR: New arguments are used to demonstrate that routing can achieve network coding bounds, and an elimination technique is developed to simplify this infinite description into a finite one based upon the shortest routing paths and trees in the network graph.

A study of some problems in network information theory

TL;DR: This dissertation suggests that a significant aspect of the difficulty in studying limits of communication over networks lies in the unidirectional aspects of the problem, and finds that simple schemes are approximately optimal in achieving these fundamental limits.
References
More filters
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.
Related Papers (5)