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...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2007
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Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics
24 |
Schlagworte: | |
Online-Zugang: | DE-12 DE-92 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xiii, 196 pages) |
ISBN: | 9780511619632 |
DOI: | 10.1017/CBO9780511619632 |
Internformat
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520 | |a 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 | ||
650 | 4 | |a Telecommunication systems | |
650 | 4 | |a Information networks | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Franceschetti, Massimo |
author_facet | Franceschetti, Massimo |
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dewey-full | 621.3821 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3821 |
dewey-search | 621.3821 |
dewey-sort | 3621.3821 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1017/CBO9780511619632 |
format | Electronic eBook |
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indexdate | 2025-01-20T19:00:45Z |
institution | BVB |
isbn | 9780511619632 |
language | English |
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spelling | Franceschetti, Massimo Verfasser aut Random networks for communication from statistical physics to information systems Massimo Franceschetti, Ronald Meester Cambridge Cambridge University Press 2007 1 online resource (xiii, 196 pages) txt rdacontent c rdamedia cr rdacarrier Cambridge series on statistical and probabilistic mathematics 24 Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Telecommunication systems Information networks Stochastic processes Statistical communication theory Spatial analysis (Statistics) Kommunikationssystem (DE-588)4125542-2 gnd rswk-swf Informationstheorie (DE-588)4026927-9 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Kommunikationssystem (DE-588)4125542-2 s Informationstheorie (DE-588)4026927-9 s Stochastischer Prozess (DE-588)4057630-9 s 1\p DE-604 Meester, Ronald Sonstige oth Erscheint auch als Druckausgabe 978-0-521-85442-9 https://doi.org/10.1017/CBO9780511619632 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Franceschetti, Massimo Random networks for communication from statistical physics to information systems Telecommunication systems Information networks Stochastic processes Statistical communication theory Spatial analysis (Statistics) Kommunikationssystem (DE-588)4125542-2 gnd Informationstheorie (DE-588)4026927-9 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
subject_GND | (DE-588)4125542-2 (DE-588)4026927-9 (DE-588)4057630-9 |
title | Random networks for communication from statistical physics to information systems |
title_auth | Random networks for communication from statistical physics to information systems |
title_exact_search | Random networks for communication from statistical physics to information systems |
title_full | Random networks for communication from statistical physics to information systems Massimo Franceschetti, Ronald Meester |
title_fullStr | Random networks for communication from statistical physics to information systems Massimo Franceschetti, Ronald Meester |
title_full_unstemmed | Random networks for communication from statistical physics to information systems Massimo Franceschetti, Ronald Meester |
title_short | Random networks for communication |
title_sort | random networks for communication from statistical physics to information systems |
title_sub | from statistical physics to information systems |
topic | Telecommunication systems Information networks Stochastic processes Statistical communication theory Spatial analysis (Statistics) Kommunikationssystem (DE-588)4125542-2 gnd Informationstheorie (DE-588)4026927-9 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
topic_facet | Telecommunication systems Information networks Stochastic processes Statistical communication theory Spatial analysis (Statistics) Kommunikationssystem Informationstheorie Stochastischer Prozess |
url | https://doi.org/10.1017/CBO9780511619632 |
work_keys_str_mv | AT franceschettimassimo randomnetworksforcommunicationfromstatisticalphysicstoinformationsystems AT meesterronald randomnetworksforcommunicationfromstatisticalphysicstoinformationsystems |