Research Article
Analysis of Dynamic Sensor Networks: Power Law Then What?
@INPROCEEDINGS{10.1109/COMSWA.2007.382427, author={Eric Fleury and Jean-Loup Guillaume and Celine Robardet and Antoine Scherrer}, title={Analysis of Dynamic Sensor Networks: Power Law Then What?}, proceedings={2nd International IEEE Conference on Communication System Software and Middleware}, publisher={IEEE}, proceedings_a={COMSWARE}, year={2007}, month={7}, keywords={Data mining Disruption tolerant networking Frequency Graph theory Internet Network topology Random processes Sensor phenomena and characterization Wireless sensor networks World Wide Web}, doi={10.1109/COMSWA.2007.382427} }- Eric Fleury
Jean-Loup Guillaume
Celine Robardet
Antoine Scherrer
Year: 2007
Analysis of Dynamic Sensor Networks: Power Law Then What?
COMSWARE
IEEE
DOI: 10.1109/COMSWA.2007.382427
Abstract
Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these networks, we will show that this is not sufficient to describe properly the dynamics of sensor networks. We will present some coupled arguments from data mining, random processes and graph theory to describe more accurately the dynamics with the use of a random model to show the limits of an approach limited to power law contact durations.
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