Space-crossing : community-based data forwarding in mobile social networks under the hybrid communication architecture

Li, Zhong, Wang, Cheng, Yang, Siqian, Jiang, Changjun and Stojmenovic, Ivan 2015, Space-crossing : community-based data forwarding in mobile social networks under the hybrid communication architecture, IEEE transactions on wireless communications, vol. 14, no. 9, pp. 4720-4727, doi: 10.1109/TWC.2015.2424965.

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Title Space-crossing : community-based data forwarding in mobile social networks under the hybrid communication architecture
Author(s) Li, Zhong
Wang, Cheng
Yang, Siqian
Jiang, Changjun
Stojmenovic, Ivan
Journal name IEEE transactions on wireless communications
Volume number 14
Issue number 9
Start page 4720
End page 4727
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-09
ISSN 1536-1276
Keyword(s) mobile social networks
infrastructure support
space-crossing community
data forwarding
Summary In this paper, we study two tightly coupled issues, space-crossing community detection and its influence on data forwarding in mobile social networks (MSNs). We propose a communication framework containing the hybrid underlying network with access point (AP) support for data forwarding and the base stations for managing most of control traffic. The concept of physical proximity community can be extended to be one across the geographical space, because APs can facilitate the communication among long-distance nodes. Space-crossing communities are obtained by merging some pairs of physical proximity communities. Based on the space-crossing community, we define two cases of node local activity and use them as the input of inner product similarity measurement. We design a novel data forwarding algorithm Social Attraction and Infrastructure Support (SAIS), which applies similarity attraction to route to neighbor more similar to destination, and infrastructure support phase to route the message to other APs within common connected components. We evaluate our SAIS algorithm on real-life datasets from MIT Reality Mining and University of Illinois Movement (UIM). Results show that space-crossing community plays a positive role in data forwarding in MSNs. Based on this new type of community, SAIS achieves a better performance than existing popular social community-based data forwarding algorithms in practice, including Simbet, Bubble Rap and Nguyen's Routing algorithms.
Language eng
DOI 10.1109/TWC.2015.2424965
Field of Research 0906 Electrical And Electronic Engineering
1005 Communications Technologies
0805 Distributed Computing
080399 Computer Software not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
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