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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fleury, E. Guillaume, J.-L. Robardet, C. Scherrer, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: INRIA, INSA de Lyon, Lyon, France (Fleury, E.; Guillaume, J.-L.) |
| 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. |
| Starting Page | 1 |
| Ending Page | 13 |
| File Size | 4319819 |
| Page Count | 13 |
| File Format | |
| ISBN | 1424406137 |
| DOI | 10.1109/COMSWA.2007.382427 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-01-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Data mining Disruption tolerant networking Random processes Graph theory Sensor phenomena and characterization World Wide Web Internet Network topology Frequency |
| Content Type | Text |
| Resource Type | Article |
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