Title
Network Information Flow for Multicast Communication Networks,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
In this work, we have studied information network flow problem on a single source multisink multicast communication network. We have tried to extend the idea of switching gap given by Liang at. al by analyzing a generic butterfly network under suitable assumptions about link capacities. From the results, we could conclude that information rate due to Network coding is coming out to be same in all versions of the network. We found out that application of game theory for network switching is not generic and requires certain conditions on link capacities. Moreover the problem for single source multicast flow appears to be a NP hard problem. We recommend focus should now be given on working towards a graph theoretic solution for this problem with some simplifications.Such a solution will not only give maximum possible network information rate for a generic single source multisink multicast network but in the process it would also give the optimum switching strategy for the network.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.