A Max-Flow Min-Cut Theorem with Applications in Small Worlds and Dual Radio Networks
Abstract
Description
Intrigued by the capacity of random networks, we start by proving a max-flow min-cut theorem that is applicable to any random graph obeying a suitably defined independence-in-cut property. We then show that this property is satisfied by relevant classes, including small world topologies, which are pervasive in both man-made and natural networks, and wireless networks of dual devices, which exploit multiple radio interfaces to enhance the connectivity of the network. In both cases, we are able to apply our theorem and derive max-flow min-cut bounds for network information flow.
22 pages, 4 figures, Submitted to JSAC Special Issue on Stochastic Geometry and Random Graphs for Wireless Networks
22 pages, 4 figures, Submitted to JSAC Special Issue on Stochastic Geometry and Random Graphs for Wireless Networks