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Caching algorithms for broadcasting and multicasting in disruption tolerant networks

Tian, Feng, Liu, Bo, Zhou, Haibo, Rui, Yun, Chen, Jiacheng, Xiong, Jian and Gui, Lin 2016, Caching algorithms for broadcasting and multicasting in disruption tolerant networks, Wireless communications and mobile computing, Early view, pp. 1-14, doi: 10.1002/wcm.2761.

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Title Caching algorithms for broadcasting and multicasting in disruption tolerant networks
Author(s) Tian, Feng
Liu, BoORCID iD for Liu, Bo
Zhou, Haibo
Rui, Yun
Chen, Jiacheng
Xiong, Jian
Gui, Lin
Journal name Wireless communications and mobile computing
Season Early view
Start page 1
End page 14
Total pages 14
Publisher Wiley
Place of publication London, Eng.
Publication date 2016
ISSN 1530-8677
Keyword(s) delay and disruption tolerant networks
caching algorithm
Summary In delay and disruption tolerant networks, the contacts among nodes are intermittent. Because of the importance of data access, providing efficient data access is the ultimate aim of analyzing and exploiting disruption tolerant networks. Caching is widely proved to be able to improve data access performance. In this paper, we consider caching schemes for broadcasting and multicasting to improve the performance of data access. First, we propose a caching algorithm for broadcasting, which selects the community central nodes as relays from both network structure perspective and social network perspective. Then, we accommodate the caching algorithm for multicasting by considering the data query pattern. Extensive trace-driven simulations are conducted to investigate the essential difference between the caching algorithms for broadcasting and multicasting and evaluate the performance of these algorithms.
Language eng
DOI 10.1002/wcm.2761
Field of Research 0805 Distributed Computing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Wiley
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Document type: Journal Article
Collection: School of Information Technology
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