6 results about "Network survivability" patented technology

The invention relates to a satellite communication system contribution rate evaluation method, which comprises the following steps of: introducing natural connectivity into survivability analysis on the basis of constructing a space-ground integrated heterogeneous communication network system by utilizing a complex network survivability evaluation theory, and performing simulation by utilizing tool software of Matlab; the improvement degree of the whole communication network before and after the communication satellite is added is analyzed, and a corresponding analysis simulation result is given. According to the method, index parameter values such as node importance, betweenness centrality and degree centrality in the communication network system can be clearly analyzed, the relationship between the index parameter values and survivability can be obtained according to the indexes, and the obtained conclusion can provide constructive opinions for improving survivability research after a communication satellite is added into the communication network system. From the perspective of communication network survivability, the contribution rate of the satellite communication system to the communication equipment system is analyzed.

The invention discloses a low-altitude flight route network survivability evaluation method and device, and relates to the technical field of low-altitude flight safety, and the method comprises the steps: obtaining a low-altitude flight route network survivability evaluation index; constructing a low-altitude route complex network model; and based on a low-altitude route network survivability evaluation index, removing important nodes in the low-altitude route complex network model, and carrying out simulation analysis on the network survivability through a complex network theory. By adopting the technical scheme of the invention, the survivability of the low-altitude airline network under the weather influence can be better evaluated.

The invention relates to a network survivability evaluation method and device, computer equipment, a storage medium and a computer program product. Relates to the field of network technology and security technology. The method comprises the steps of obtaining a first number and a second number of to-be-evaluated networks; determining a first selectable node combination for removing a first number of nodes in the network to be evaluated, and a second selectable node combination for removing a second number of nodes in the network to be evaluated; determining first network information based on the number of sub-networks obtained after the first selectable node combination is removed from the to-be-evaluated network, and determining second network information based on the number of disjoint paths of the sub-networks obtained after the second selectable node combination is removed from the to-be-evaluated network; and calculating the survivability of the to-be-evaluated network based on the first network information and the second network information. By adopting the method, the accuracy of a network survivability evaluation result can be improved.

This invention discloses a simulation verification method and system for power communication network maintenance based on digital twins, relating to the field of intelligent operation and maintenance technology for power and communication networks. It solves the problems of existing technologies where maintenance approval relies on manual experience, lacks dynamic simulation methods, and cannot assess the risk of superimposed faults. The key technical points are: converting the pending power communication maintenance application form into a graph operation command; inputting the graph operation command into a pre-constructed digital twin model for topology simulation, outputting the maintenance-state network topology; wherein the digital twin model is constructed from the full topology graph of the power communication network; under the maintenance-state network topology, performing a full-network static connectivity analysis, traversing and simulating the network survivability after a single fault occurs on the remaining critical links, and calculating the maintenance risk index by combining the voltage level and type weight of the carried services; comparing the maintenance risk index with a preset safety threshold, and outputting the simulation verification result.

The present invention discloses a deployment method for a software-defined optical network controller based on machine learning, including: traversing the SDON network topology based on a depth-first search strategy to find all possible paths between any two nodes among all nodes in the SDON network, and simultaneously counting the transmission delay values of each path; setting a delay threshold to filter out the control paths between nodes that meet the delay constraint conditions; constructing a new network topology graph of the SDON network, forming new abstract links with the control paths; dividing two nodes without a direct control path into different network regions; determining the controller positions for each network region; and selecting one from each controller as the control center to complete the deployment of the SDON network controller. The present invention reduces the control redundancy of the SDON while ensuring network survivability and improves the reliability of the SDON.

The invention relates to an unmanned aerial vehicle dynamic self-organizing network method and system based on multi-satellite cooperation. The method comprises the following steps: receiving positioning information of an unmanned aerial vehicle and anchor point data of topological anchor points broadcasted by a satellite network through a multi-channel communication terminal arranged on the unmanned aerial vehicle; calculating the distance between the unmanned aerial vehicle and the topological anchor point based on the positioning information and the anchor point data; selecting an unmanned aerial vehicle cluster head of the unmanned aerial vehicle group according to the distance between the aircrafts and the anchors based on a smaller distance priority principle; the unmanned aerial vehicle cluster head is connected with the unmanned aerial vehicle members in the unmanned aerial vehicle group, and the problems that an existing unmanned aerial vehicle dynamic self-organizing network is fragile in topological structure, poor in high-speed moving adaptability, lack of air-space cooperative ability and insufficient in network survivability can be solved.