Effective Social Relationship Measurement and Cluster Based Routing in Mobile Opportunistic Networks

Sensors
Feng ZengWenjia Li

Abstract

In mobile opportunistic networks, the social relationship among nodes has an important impact on data transmission efficiency. Motivated by the strong share ability of "circles of friends" in communication networks such as Facebook, Twitter, Wechat and so on, we take a real-life example to show that social relationships among nodes consist of explicit and implicit parts. The explicit part comes from direct contact among nodes, and the implicit part can be measured through the "circles of friends". We present the definitions of explicit and implicit social relationships between two nodes, adaptive weights of explicit and implicit parts are given according to the contact feature of nodes, and the distributed mechanism is designed to construct the "circles of friends" of nodes, which is used for the calculation of the implicit part of social relationship between nodes. Based on effective measurement of social relationships, we propose a social-based clustering and routing scheme, in which each node selects the nodes with close social relationships to form a local cluster, and the self-control method is used to keep all cluster members always having close relationships with each other. A cluster-based message forwarding mechanism i...Continue Reading

Citations

Nov 13, 2020·Computational Intelligence and Neuroscience·Zilin GaoQingshan Liu

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Software Mentioned

Opportunistic Network Environment simulator ( ONE )
SANE
CRAWDAD
BUBBLE
PRoPHET
PRoPHETv2
PeopleRank
DRAFT

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