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INFOCOM
2007
IEEE

Finding Self-Similarities in Opportunistic People Networks

14 years 5 months ago
Finding Self-Similarities in Opportunistic People Networks
— Opportunistic network is a type of Delay Tolerant Networks (DTN) where network communication opportunities appear opportunistic. In this study, we investigate opportunistic network scenarios based on public network traces, and our contributions are the following: First, we identify the censorship issue in network traces that usually leads to strongly skewed distribution of the measurements. Based on this knowledge, we then apply the Kaplan-Meier Estimator to calculate the survivorship of network measurements, which is used in designing our proposed censorship removal algorithm (CRA) that is used to recover censored data. Second, we perform a rich set of analysis illustrating that UCSD and Dartmouth network traces show strong self-similarity, and can be modeled as such. Third, we pointed out the importance of these newly revealed characteristics in future development and evaluation of opportunistic networks.
Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruvelli
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where INFOCOM
Authors Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruvelli Sreedevi, Kuan-Ta Chen, Chen-Hung Yu, Hao-Hua Chu
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