Routing method of social perception and probability prediction for mobile opportunity social network

Abstract

The invention discloses a routing method of social perception and probability prediction for a mobile opportunity social network. According to the method, two kinds of related centrality are provided in an initialization phase by researching the liveness, interest and mobility of nodes and the relationship between the nodes so as to simplify a network model; and in a routing phase, message transmission is carried out on the basis of comprehensive consideration of social perception and probability prediction depending on the simplified network model. In addition, a message transcript control strategy is adopted in the message transmission process to effectively control the number of transcripts of a message in the network and reduce the consumption of network resources. The simulation experiment results show that compared with the other three classical routing methods, the method disclosed in the invention has the advantages of effectively improving the delivery rate of the message and reducing the overhead rate of the network.

Description

technical field [0001] The invention relates to the field of mobile opportunistic social networks, in particular to a routing method for social perception and probability prediction of mobile opportunistic social networks. Background technique [0002] In mobile opportunistic social networks (Mobile Opportunistic Social Networks, hereinafter referred to as MOSNs), mobile users (for simplicity, mobile users, users and nodes will be used interchangeably in the following) can move around without the support of communication infrastructure. Messaging with hand-held portable mobile devices. In detail, portable mobile devices carried by users can usually communicate wirelessly through Wi-Fi or Bluetooth, and when two devices are within the communication range of each other, messages can be transmitted between them. It is precisely because the transmission of messages in MOSNs does not require the support of communication infrastructure that MOSNs are widely used in many scenarios...

AI Technical Summary

Problems solved by technology

Therefore, some probabilistic prediction-based methods incur significant network overhead compared to socially aware routing methods

In addition, routing methods based on single-copy social awareness usually do not have a particularly high delivery rate, because nodes in the network are mobile and there is only one copy of each message in the single-copy method. discarded, it will never be successfully delivered

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