Random Networks for Communication: From Statistical Physics to Information Systems
When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide ...more
Hardcover, 196 pages
Published
February 1st 2008
by Cambridge University Press
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