期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：4
页码：1696-1700
出版社：TechScience Publications
摘要：Mobile social networks (MSNs) are a special kind ofdelay tolerant network (DTN), in which mobile users movearound and communicate with each other via their carriedshort-distance wireless communication devices. Typical MSNsinclude pocket switch networks, mobile vehicular networks,mobile sensor networks, etc. As more users exploit portableshort-distance wireless communication devices (such as smartphones, iPads, mobile PCs, and sensors in vehicles) to contactand share data between each other in a cheap way, MSNsattract more attention. Since MSNs experience intermittentconnectivity incurred by the mobility of users, routing is amainly concerning and challenging problem.Recently, somesocial-aware routing algorithms that are based on socialnetwork analysis have been proposed, such as Bubble Rap,SimBet, and algorithms, etc. Two key concepts in socialnetwork analysis are: (i) community, which is a group ofpeople with social relations; (ii) centrality, which indicates thesocial relations between a node and other nodes in acommunity. Based on the two concepts, these algorithmsdetect the communities and compute the centrality value foreach node. Messages are delivered via the nodes with goodcentralities. Since social relations of mobile users generallyhave long-term characteristics and are less volatile than nodemobility, social-aware algorithms outperform traditional DTNalgorithms, such as flooding-based algorithms andprobability-based algorithms. Despite this, these algorithmstend to forward messages to the nodes with locally bestcentralities.
