Minggang Zhai
School of Software, Central South University, 410083, Changsha, China
Ming Zhao
School of Software, Central South University, 410083, Changsha, China
Liping Liu
School of Software, Central South University, 410083, Changsha, China
Na Wei
School of Information Science and Engineering, Hunan University, 410082, Changsha, China
ABSTRACT
Data dissemination is an important research subject in Mobile Social Networks (MSNs). This study mainly studies user-interest-based accurate data dissemination based on geographic communities in mobile social networks. Our goal is to establish interestingness measure model of the geo-community, plan superusers moving route, so that the superuser can disseminate data to the other regular users of the network who are interested in the data carried by the superuser.We have established a geo-community interestingness measure model based on users distribution over geo-communities and establish routing algorithm for the superuser according to the users interestingness measurement of the geo-community, in order to achieve accurate data dissemination purposes. We give the superusers routing algorithm. We get good results in the aspect of the number of packets, data transmission delay and energy consumption.
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How to cite this article
Minggang Zhai, Ming Zhao, Liping Liu and Na Wei, 2013. A User-interest-based Routing Optimization Algorithm for Data Dissemination in
Mobile Social Networks. Information Technology Journal, 12: 3103-3109.
DOI: 10.3923/itj.2013.3103.3109
URL: https://scialert.net/abstract/?doi=itj.2013.3103.3109
DOI: 10.3923/itj.2013.3103.3109
URL: https://scialert.net/abstract/?doi=itj.2013.3103.3109
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