2015
DOI: 10.1109/mnet.2015.7166192
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A novel design for content delivery over software defined mobile social networks

Abstract: With the rapid development of mobile communication technologies, various kinds of content can be delivered among mobile users for content sharing. Due to the complexity of networks and particular features of mobile behaviors, to manage networks efficiently, SDMSNs are advocated where the control plane and data plane can work separately but cooperatively. In this article we outline how to deliver mobile content over SDMSNs. We first design the flow table based on the social features including social tie, mobili… Show more

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Cited by 107 publications
(25 citation statements)
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References 10 publications
(13 reference statements)
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“…It enables objects possessing sensorial and computing capabilities to work together efficiently. Meanwhile, it also facilitates the delivering of mobile content based on the concept of social networks [3], [4]. Those physical objects in IoT are more intelligent than before as they can see, hear, think and cooperate with one another [5].…”
Section: A Backgroundmentioning
confidence: 99%
“…It enables objects possessing sensorial and computing capabilities to work together efficiently. Meanwhile, it also facilitates the delivering of mobile content based on the concept of social networks [3], [4]. Those physical objects in IoT are more intelligent than before as they can see, hear, think and cooperate with one another [5].…”
Section: A Backgroundmentioning
confidence: 99%
“…Vehicular social network can be considered a mobile social network [25], [24] where drivers in the same social group share information via V2V communications. In the RoadSpeak [23] and Verse [15] systems, vehicles in proximity to each other form a short-lived social network.…”
Section: Related Workmentioning
confidence: 99%
“…Although the research on maritime scenario is still in the early stage, the counterparts on land-based network could provide a solid foundation for our work [14][15][16][17][18][19][20][21][22]. In [23], the authors studied the broadcast scheduling issue with minimum latency and redundancy analysis for cognitive radio networks, which could significantly improve the existing performance of latency and redundancy for CRNs.…”
Section: Related Workmentioning
confidence: 99%