Cross-domain self-organizing network flow measurement method, device, medium and product
The invention discloses a cross-domain self-organizing network flow measurement method and device, a medium and a product, and relates to the field of network flow prediction, and the method comprises the steps: obtaining a network flow data packet of a to-be-predicted cross-domain self-organizing n...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
03.12.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a cross-domain self-organizing network flow measurement method and device, a medium and a product, and relates to the field of network flow prediction, and the method comprises the steps: obtaining a network flow data packet of a to-be-predicted cross-domain self-organizing network within a preset time; the to-be-predicted cross-domain ad hoc network comprises a cluster head and a plurality of terminal nodes; determining a traffic matrix and a routing matrix of the to-be-predicted cross-domain ad hoc network according to the network traffic data packet; according to the traffic matrix and the routing matrix, utilizing a to-be-measured terminal node prediction model to determine a minimum measurement number terminal node set; the minimum measurement number terminal node set comprises a plurality of terminal nodes to be measured; wherein the to-be-measured terminal node prediction model is obtained by training a meta-learning and reinforcement learning model by using a training data set; |
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Bibliography: | Application Number: CN202411289481 |