Cyclic Temporal Network Density and its impact on Information Diffusion for Delay Tolerant Networks

Lintao Yang; Sai Wang; Hao Jiang

doi:10.21307/ijssis-2017-425

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Cyclic Temporal Network Density and its impact on Information Diffusion for Delay Tolerant Networks

International Journal on Smart Sensing and Intelligent Systems

Volume 4 (2011): Issue 1 (January 2011)

By: Lintao Yang, Sai Wang and Hao Jiang

Open Access

|Dec 2017

Abstract

We adopt temporal graph model to explore the dynamic temporal properties of three mobility datasets in DTN (Delay Tolerant Network), collected from different sources, including one university campus WLAN and two conferences WLANs. With this model, we observe that the temporal network density of DTN changes with time and approximate varies periodically. Then we study the impact of this phenomenon on information diffusion. Our studies and findings can be used for establishing more realistic mobile model, building intelligent routing algorithm, and design advanced applications for DTNs.

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Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2017-425 | Journal eISSN: 1178-5608

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Language: English

Page range: 35 - 52

Submitted on: Oct 15, 2010

Accepted on: Feb 9, 2011

Published on: Dec 12, 2017

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Delay Tolerant Network,

Temporal Network Density,

Information Diffusion,

Temporal Graph Model

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2017 Lintao Yang, Sai Wang, Hao Jiang, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 4 (2011): Issue 1 (January 2011)