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Beyond Contact Predictions in Mobile Opportunistic Networks

Summary
Beyond Contact Predictions in Mobile Opportunistic Networks. Alexandru Tatar, Tiphaine Phe-Neau, Marcelo Dias de Amorim, Vania Conan, and Serge Fdida. In proceedings of the 11th IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services (IEEE/IFIP WONS 2014).

Abstract
When studying and designing protocols for mobile opportunistic networks, most works consider only direct contact patterns between mobile nodes. Tracking these contacts is important for end-to-end communications but relying only on this kind of information provides a limited view about transmission possibilities. Mobile users are often in intercontact, but still separated by only a few hops, which translate into effective communication opportunities between nodes. In this paper, we focus on such a type of communication opportunities and investigate to what extent they can be predicted. Using realworld datasets, we provide evidences about the predictable nature of nodes’ proximity and evaluate the benefits of these results compared to direct contact predictions.

Bibtex Entry
@inproceedings{pheneau.wons14,
author = {Tatar, Alexandru and Phe-Neau, Tiphaine and Dias de Amorim, Marcelo and Conan, Vania and Fdida, Serge},
title = {Beyond Contact Predictions in Mobile Opportunistic Networks},
booktitle = {IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services (IEEE/IFIP WONS)},
month = {April},
year = {2014},
location = {Obergurgl, Austria},
}

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Slides
This paper was presented by Alexandru Tatar.