Minimum Cost Multicast with Decentralized Sources

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In this paper we study the multisource multicast problem where every sink in a given directed acyclic graph is a client and is interested in a common file. We consider the case where each node can have partial knowledge about the file as a side information. Assuming that nodes can communicate over the capacity constrained links of the graph, the goal is for each client to gain access to the file, while minimizing some linear cost function of number of bits transmitted in the network. We consider three types of side-information settings:(ii) side information in the form of linearly correlated packets; and (iii) the general setting where the side information at the nodes have an arbitrary (i.i.d.) correlation structure. In this work we 1) provide a polynomial time feasibility test, i.e., whether or not all the clients can recover the file, and 2) we provide a polynomial-time algorithm that finds the optimal rate allocation among the links of the graph, and then determines an explicit transmission scheme for cases (i) and (ii).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Minimum Cost Multicast with Decentralized Sources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Minimum Cost Multicast with Decentralized Sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Minimum Cost Multicast with Decentralized Sources will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-14375

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.