Self-management of Routing on Human Proximity Networks

G Williamson; D Cellai; S Dobson; PA Nixon

doi:10.1007/978-3-642-10865-5

Self-management of Routing on Human Proximity Networks

G Williamson, D Cellai, S Dobson, PA Nixon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Unknown Host Publication
Editors	T Spyropoulos, KA Hummel
Publisher	Springer
Pages	1-12
Number of pages	12
ISBN (Print)	978-3-642-10864-8
DOIs	https://doi.org/10.1007/978-3-642-10865-5
Publication status	Published (in print/issue) - 2009
Event	Self-Organizing Systems: 4th IFIP TC 6 International Workshop, IWSOS 2009 - Zurich, Switzerland Duration: 1 Jan 2009 → …

Workshop

Workshop	Self-Organizing Systems: 4th IFIP TC 6 International Workshop, IWSOS 2009
Period	1/01/09 → …

Keywords

n/a

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10.1007/978-3-642-10865-5

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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.",

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AU - Cellai, D

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AU - Nixon, PA

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AB - 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.

KW - n/a

U2 - 10.1007/978-3-642-10865-5

DO - 10.1007/978-3-642-10865-5

M3 - Conference contribution

SN - 978-3-642-10864-8

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BT - Unknown Host Publication

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ER -

Self-management of Routing on Human Proximity Networks

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