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Opportunistic Mobile Social Networks : ウィキペディア英語版 | Opportunistic Mobile Social Networks Opportunistic Mobile Social Networks are a form of mobile ad hoc networks that exploit the human social characteristics, such as similarities, daily routines, mobility patterns, and interests to perform the message routing and data sharing.〔Nikolaos Vastardis and Kun Yang, “Mobile Social Networks: Architectures, Social Properties, and Key Research Challenges,” IEEE Communications Surveys and Tutorials, vol. 15, no. 3, 2013, pp. 1355.〕〔Behrouz Jedari and Feng Xia, “A Survey on Routing and Data Dissemination in Opportunistic Mobile Social Networks,” http://arxiv.org/abs/1311.0347〕 In such networks, the users with mobile devices are able to form on-the-fly social networks to communicate with each other and share data objects.〔O. Khalid, S. U. Khan, S. A. Madani, K. Hayat, L. Wang, D. Chan, and R. Ranjan, "Opportunistic Databank: A Context-aware on-the-fly Data Center for Mobile Networks," in Handbook on Data Centers, S. U. Khan and A. Y. Zomaya, Eds., Springer-Verlag, New York, USA.〕 == Definition == In recent years, opportunistic mobile social networks emerged as a new mechanism of communications in wireless networks. Unlike mobile ad hoc networks (MANETs) that require end-to-end communication paths for message exchange, the communication in opportunistic mobile social networks takes place on the establishment of opportunistic contacts among mobile nodes, without availability of end-to-end message routing paths. As the mobile devices can make contact only when humans come into contact, such networks are tightly coupled with human social networks. Therefore, the opportunistic mobile social networks exploit the human behaviors and social relationships to build more efficient and trustworthy message dissemination schemes.〔J. Kolodziej, S. U. Khan, L. Wang, N. Min-Allah, S. A. Madani, N. Ghani, and H. Li, ("An Application of Markov Jump Process Model for Activity-Based Indoor Mobility Prediction in Wireless Networks," ) in ''9th IEEE International Conference on Frontiers of Information Technology (FIT),'' Islamabad, Pakistan, December 2011, pp. 51-56.〕
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