Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. We demonstrate our approach against real-world human-proximity networks.
%0 Book Section
%1 Williamson2009Selfmanagement
%A Williamson, Graham
%A Cellai, Davide
%A Dobson, Simon
%A Nixon, Paddy
%B Self-Organizing Systems
%C Berlin, Heidelberg
%D 2009
%E Hutchison, David
%E Kanade, Takeo
%E Kittler, Josef
%E Kleinberg, Jon M.
%E Mattern, Friedemann
%E Mitchell, John C.
%E Naor, Moni
%E Nierstrasz, Oscar
%E Pandu Rangan, C.
%E Steffen, Bernhard
%E Sudan, Madhu
%E Terzopoulos, Demetri
%E Tygar, Doug
%E Vardi, Moshe Y.
%E Weikum, Gerhard
%E Spyropoulos, Thrasyvoulos
%E Hummel, Karin A.
%I Springer Berlin Heidelberg
%K routing, social-networks temporal-networks human-mobility delay-tolerant-networks
%P 1--12
%R 10.1007/978-3-642-10865-5\_1
%T Self-management of Routing on Human Proximity Networks
%U http://dx.doi.org/10.1007/978-3-642-10865-5\_1
%V 5918
%X Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. We demonstrate our approach against real-world human-proximity networks.
%& 1
%@ 978-3-642-10864-8
@inbook{Williamson2009Selfmanagement,
abstract = {{Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. We demonstrate our approach against real-world human-proximity networks.}},
added-at = {2019-06-10T14:53:09.000+0200},
address = {Berlin, Heidelberg},
author = {Williamson, Graham and Cellai, Davide and Dobson, Simon and Nixon, Paddy},
biburl = {https://www.bibsonomy.org/bibtex/2fd30eafed764bfc71d0a1c6a5012486a/nonancourt},
booktitle = {Self-Organizing Systems},
chapter = 1,
citeulike-article-id = {6505517},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-10865-5\_1},
citeulike-linkout-1 = {http://www.springerlink.com/content/538014280181u822},
doi = {10.1007/978-3-642-10865-5\_1},
editor = {Hutchison, David and Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Naor, Moni and Nierstrasz, Oscar and Pandu Rangan, C. and Steffen, Bernhard and Sudan, Madhu and Terzopoulos, Demetri and Tygar, Doug and Vardi, Moshe Y. and Weikum, Gerhard and Spyropoulos, Thrasyvoulos and Hummel, Karin A.},
interhash = {9face1ffef0474a12acc5d0972277d55},
intrahash = {fd30eafed764bfc71d0a1c6a5012486a},
isbn = {978-3-642-10864-8},
issn = {1611-3349},
keywords = {routing, social-networks temporal-networks human-mobility delay-tolerant-networks},
pages = {1--12},
posted-at = {2010-01-08 17:42:57},
priority = {2},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2019-08-01T16:17:12.000+0200},
title = {{Self-management of Routing on Human Proximity Networks}},
url = {http://dx.doi.org/10.1007/978-3-642-10865-5\_1},
volume = 5918,
year = 2009
}