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Social-aware data dissemination in opportunistic mobile social networks.

Authors :
Yang, Yibo
Zhao, Honglin
Ma, Jinlong
Han, Xiaowei
Source :
International Journal of Modern Physics C: Computational Physics & Physical Computation. Sep2017, Vol. 28 Issue 9, p-1. 16p.
Publication Year :
2017

Abstract

Opportunistic Mobile Social Networks (OMSNs), formed by mobile users with social relationships and characteristics, enhance spontaneous communication among users that opportunistically encounter each other. Such networks can be exploited to improve the performance of data forwarding. Discovering optimal relay nodes is one of the important issues for efficient data propagation in OMSNs. Although traditional centrality definitions to identify the nodes features in network, they cannot identify effectively the influential nodes for data dissemination in OMSNs. Existing protocols take advantage of spatial contact frequency and social characteristics to enhance transmission performance. However, existing protocols have not fully exploited the benefits of the relations and the effects between geographical information, social features and user interests. In this paper, we first evaluate these three characteristics of users and design a routing protocol called Geo-Social-Interest (GSI) protocol to select optimal relay nodes. We compare the performance of GSI using real INFOCOM06 data sets. The experiment results demonstrate that GSI overperforms the other protocols with highest data delivery ratio and low communication overhead. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01291831
Volume :
28
Issue :
9
Database :
Academic Search Index
Journal :
International Journal of Modern Physics C: Computational Physics & Physical Computation
Publication Type :
Academic Journal
Accession number :
125596632
Full Text :
https://doi.org/10.1142/S0129183117501157