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Impact of Human Mobility on Opportunistic Forwarding Algorithms

Chaintreau, Augustin, Hui, Pan, Crowcroft, Jon, Diot, Christophe, Gass, Richard, Scott, James·2007·IEEE Transactions on Mobile Computing

Abstract

We study data transfer opportunities between wireless devices carried by humans. We observe that the distribution of the intercontact time (the time gap separating two contacts between the same pair of devices) may be well approximated by a power law over the range [10 minutes; 1 day]. This observation is confirmed using eight distinct experimental data sets. It is at odds with the exponential decay implied by the most commonly used mobility models. In this paper, we study how this newly uncovered characteristic of human mobility impacts one class of forwarding algorithms previously proposed. We use a simplified model based on the renewal theory to study how the parameters of the distribution impact the performance in terms of the delivery delay of these algorithms. We make recommendations for the design of well-founded opportunistic forwarding algorithms in the context of human-carried devices

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Metadata

Authors
Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., & Scott, J.
Venue
IEEE Transactions on Mobile Computing
Published
2007-06
Volume
6
Issue
6
Pages
606-620
ISSN
1536-1233 (ISSN-L)
OpenAlex
W2096509679
Cited by
1,023
References
0
FWCI
68.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impact of Human Mobility on Opportunistic Forwarding Algorithms. https://app.cochat.ai/papers/10.1109/tmc.2007.1060
The paper
Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., & Scott, J. (2007). Impact of Human Mobility on Opportunistic Forwarding Algorithms. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/tmc.2007.1060

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