Opportunistic network link prediction method and device, and readable storage medium

Abstract

The invention discloses an opportunistic network link prediction method and device, and a readable storage medium. The method comprises: slicing sample data to obtain a plurality of sub-sample data, and dividing a connection number and a connection time of a node pair in each sub-sample data into a corresponding network snapshot; converting the connection number and the connection time of the nodepair in each network snapshot into a connection weight, and mapping an identifier of the node pair and the node pair connection weight in each network snapshot into a time series vector sequence; acquiring node attribute information in each network snapshot to construct an attribute vector, and constructing an attribute vector sequence; constructing a Bayesian deep learning model, training and testing the model by using the time series vector sequence and the attribute vector sequence to obtain a target model, and predicting the opportunistic network link by using the target model. The methodand the device can accurately grasp the evolution rule of opportunistic network node pairs in the time domain and accurately predict the opportunistic network link.

Description

technical field [0001] The present invention relates to the technical field of opportunistic networks, in particular to a link prediction method, device and readable storage medium for opportunistic networks. Background technique [0002] The opportunistic network uses the communication path formed by node movement to transmit data from the source node to the target node hop by hop, and realizes inter-node communication with the "store-carry-forward" routing mode. Opportunistic networks, which are dynamic and do not require full network connectivity, are more suitable for actual ad hoc network requirements, and are more universal and can meet network communication needs under harsh conditions. Therefore, they are widely used in military and civilian wireless communication fields. It has important research and application value, and the development of related research is becoming more and more extensive. [0003] The routing mode of opportunistic networks leads to time-varyi...

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Problems solved by technology

[0004] In view of the above situation, it is necessary to provide an opportunistic network link prediction method, device and readable storage medium for the problem of difficulty in predicting opportunistic network links in the prior art

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