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

A network link and prediction method technology, which is applied in the field of opportunistic network link prediction methods, devices and readable storage media, can solve problems such as difficulty in predicting opportunistic network links, and achieve accurate prediction results

Active Publication Date: 2019-02-15
NANCHANG HANGKONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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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, devi

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

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Embodiment Construction

[0041] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0042] These and other aspects of embodiments of the invention will become apparent with reference to the following description and drawings. In these descriptions and drawings, some specific implementations of the embodiments of the present invention are specifically disclosed to represent some ways of implementing the principles of the embodiments of the present invention, but it should be understood that the scope of the embodiments of the present invention is not limited by this limit. On the contrary, the embodiments of the present...

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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...

Claims

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Application Information

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IPC IPC(8): H04L12/26H04L12/24G06N7/04G06N7/00
CPCH04L41/145H04L43/08G06N7/046G06N7/01
Inventor 马玉良舒坚刘琳岚
Owner NANCHANG HANGKONG UNIVERSITY
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