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Cited by 537

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Multicasting in delay tolerant networks: a social network perspective

Gao, Wei, Li, Qinghua, Zhao, Bo, Cao, Guohong·2009·Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing

Abstract

Node mobility and end-to-end disconnections in Delay Tolerant Networks (DTNs) greatly impair the effectiveness of data dissemination. Although social-based approaches can be used to address the problem, most existing solutions only focus on forwarding data to a single destination. In this paper, we are the first to study multicast in DTNs from the social network perspective. We study multicast in DTNs with single and multiple data items, investigate the essential difference between multicast and unicast in DTNs, and formulate relay selections for multicast as a unified knapsack problem by exploiting node centrality and social community structures. Extensive trace-driven simulations show that our approach has similar delivery ratio and delay to the Epidemic routing, but can significantly reduce the data forwarding cost measured by the number of relays used.

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Metadata

Authors
Gao, W., Li, Q., Zhao, B., & Cao, G.
Venue
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Publisher
ACM
Published
2009-05-18
Pages
299-308
OpenAlex
W1995341435
Cited by
537
References
21
FWCI
43.73
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multicasting in delay tolerant networks: a social network perspective. https://app.cochat.ai/papers/10.1145/1530748.1530790
The paper
Gao, W., Li, Q., Zhao, B., & Cao, G. (2009). Multicasting in delay tolerant networks: a social network perspective. Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing. https://doi.org/10.1145/1530748.1530790

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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.