Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 24)

Random Networks for Communication: From Statistical Physics to Information Systems (Cam...

Massimo Franceschetti

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Random Networks for Communication: From Statistical Physi...
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    Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 24)

    $120.89 USD
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    Book Details

    Author
    Massimo Franceschetti
    Publisher
    Cambridge University Press
    Format
    Hardcover
    Language
    English
    Category
    Electrical & Electronics
    Condition
    New
    ISBN-13
    9780521854429
    ISBN-10
    0521854423

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    Product description

    ISBN: 0521854423

    Author: Franceschetti, Massimo

    Condition: New

    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 models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

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    Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 24)

    $120.89 USD
     per 

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