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Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms

Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., Scott, J.·2006·Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications

Abstract

Abstract — Studying transfer opportunities between wireless devices carried by humans, we observe that the distribution of the inter-contact time, that is the time gap separating two contacts of the same pair of devices, exhibits a heavy tail such as one of a power law, over a large range of value. This observation is confirmed on six distinct experimental data sets. It is at odds with the exponential decay implied by most mobility models. In this paper, we study how this new characteristic of human mobility impacts a class of previously proposed forwarding algorithms. We use a simplified model based on the renewal theory to study how the parameters of the distribution impact the delay performance of these algorithms. We make recommendation for the design of well founded opportunistic forwarding algorithms, in the context of human carried devices. I.

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Metadata

Authors
Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., & Scott, J.
Venue
Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications
Publisher
IEEE
Published
2006
Pages
1-13
OpenAlex
W2112459052
Cited by
584
References
0
FWCI
54.55
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms. https://app.cochat.ai/papers/10.1109/infocom.2006.172
The paper
Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., & Scott, J. (2006). Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms. Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. https://doi.org/10.1109/infocom.2006.172

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.