2018 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computing, Scalable Computing &Amp; Commu 2018
DOI: 10.1109/smartworld.2018.00329
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Socially-Inspired Peer Discovery for D2D Communications

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Cited by 2 publications
(3 citation statements)
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“…In fact, the literature contains very few proposals for social-aware peer discovery mechanisms [17,18,19,20,21]. Among those methods that have been proposed, three schemes [17,18,19] adopt an autonomous approach. The method in [17] focuses on the security of the data transmissions and it chooses UEs with high social ties (i.e., high trust) to perform D2D communications.…”
Section: Related Workmentioning
confidence: 99%
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“…In fact, the literature contains very few proposals for social-aware peer discovery mechanisms [17,18,19,20,21]. Among those methods that have been proposed, three schemes [17,18,19] adopt an autonomous approach. The method in [17] focuses on the security of the data transmissions and it chooses UEs with high social ties (i.e., high trust) to perform D2D communications.…”
Section: Related Workmentioning
confidence: 99%
“…Consequently, the authors in [18] proposed a two-hop pairing process, in which any UE failing to find a trusted UE with its wanted contents for D2D communications sends a request to all the one-hop neighbors of its trusted UEs. The method in [19] uses three key social attributes, namely the trust degree, the similarity degree between UEs, and the center degree of each UE, to construct a unified metric with which to construct neighbor lists for peer discovery. Reference [20] addresses the content delivery problem that is related to optimization of peer discovery and resource allocation by combining both the social and physical layer information in D2D networks.…”
Section: Related Workmentioning
confidence: 99%
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