The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Routing in Socially Selfish Delay Tolerant Networks
Abstract
Existing routing algorithms for Delay Tolerant Networks(DTNs) assume that nodes are willing to forward packets for others. In the real world, however, most people are socially selfish; i.e., they are willing to forward packets for nodes with whom they have social ties but not others, and such willingness varies with the strength of the social tie. Following the philosophy of design for user, we propose a Social Selfishness Aware Routing (SSAR) algorithm to allow user selfishness and provide better routing performance in an efficient way. To select a forwarding node, SSAR considers both users' willingness to forward and their contact opportunity, resulting in a better forwarding strategy than purely contact-based approaches. Moreover, SSAR formulates the data forwarding process as a Multiple Knapsack Problem with Assignment Restrictions (MKPAR) to satisfy user demands for selfishness and performance. Trace-driven simulations show that SSAR allows users to maintain selfishness and achieves better routing performance with low transmission cost.
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An Algorithm for Finding Best Matches in Logarithmic Expected Time
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MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks
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Clustering to minimize the maximum intercluster distance
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BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks
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Metadata
- Authors
- Li, Q., Zhu, S., & Cao, G.
- Venue
- 2010 Proceedings IEEE INFOCOM
- Publisher
- IEEE
- Published
- 2010-03
- Pages
- 1-9
- OpenAlex
- W2079274032
- Cited by
- 351
- References
- 30
- FWCI
- 41.63
- Type
- conference paper
- Language
- en
- Open access
- closed
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