History and grouping based probabilistic routing in DTNs

Ruitao Zhou*, Yu Zhang, Yuanda Cao, Jun Jin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Delay and Tolerant Networks (DTNs) have been proposed to address data communication challenges in network scenarios, where no instantaneous end-to-end path is guaranteed because of frequent and long duration network partitions. Typical protocols forward a message to multiple nodes to improve message delivery rate. However, a large number of replications of original messages consume a large amount of system resources that are quite limited in such scenarios. History and Grouping based Probabilistic Routing (HGPR) is proposed in this paper to reduce the number of replications by limiting the range of message "infection" of Epidemic. Nodes are divided into different groups, and the "epidemic" only happens within certain groups. History contacts information is used for group selecting in HGPR. Simulation results show that HGPR performs better than both Epidemic and PROPHET in the community scenario, and it outperforms G-Epidemic in some metrics.

Original languageEnglish
Title of host publicationICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts
Pages1674-1679
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event5th International Conference on Computer Science and Education, ICCSE 2010 - Hefei, China
Duration: 24 Aug 201027 Aug 2010

Publication series

NameICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts

Conference

Conference5th International Conference on Computer Science and Education, ICCSE 2010
Country/TerritoryChina
CityHefei
Period24/08/1027/08/10

Keywords

  • DTN
  • Group based routing
  • Probabilistic routing

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