A Method for Optimal Coverage Arrangement of Command Nodes in Command and Control Network

Abstract

The invention relates to a method for optimal coverage arrangement of command nodes in a command and control network. The method includes the following steps: performing fuzzy analysis on the first type of indicators, calculating the normalized evaluation value τ of each node, and the first type of indicators Including information acquisition ability, decision-making ability and geographical environment; use the entropy weight method to comprehensively analyze the second type of indicators, and calculate the weight of each indicator ω j And the score S of each node i , the second category of indicators includes communication distance, information transmission efficiency, command node influence and node betweenness, and the node score calculation formula is a self-defined start threshold for local adjustment; compare and judge the betweenness of each node and the start threshold When the node betweenness is not less than the startup threshold, local adjustments and local optimization calculations are performed, otherwise global optimization calculations are performed.

Description

technical field [0001] The invention relates to a method for optimal coverage arrangement of command nodes in a command and control network, belonging to the technical field of command and control combat networks. Background technique [0002] The command and control network is a unified information network system of combat units such as various scattered sensors, command and control centers, and firepower systems. Each node in the network can share combat resources and coordinate combat command. In modern warfare, especially in an informationized and networked battlefield environment, the communication network as a carrier of military information can integrate various reconnaissance and surveillance systems, intelligence processing systems, command and control systems, and fire fighting systems scattered in space, air, sea, and land. The systems are integrated to enable uninterrupted communication between all elements of the battlefield. Facing the uncertain international ...

AI Technical Summary

Problems solved by technology

Due to the heterogeneity of military communication network nodes, the multiplicity of links, the time-varying evolution and the complexity of data, as well as the inconsistency of military communication network effectiveness evaluation methods, the uncertain battlefield under the condition of information When required, it is difficult to accurately judge the optimality of communication alternatives based on aggregation based on existing evaluation data, resulting in uncertainty in the decision-making of optimal solutions

[0004] It is obviously not enough to rely on only one command node for a large-scale network. When setting up command nodes, choosing the appropriate network location and number will affect the combat capability of the network; at the same time, the actual network has another important characteristic: the growth characteristic, which refers to the The number of nodes included is not fixed, but grows dynamically with time, that is, new firepower nodes or reconnaissance nodes may be added, and there are few solutions to these problems in existing research; and due to the real The degree of nodes in the combat network is distributed in a power law, and the distribution of nodes is uneven. It is not realistic to achieve optimal coverage of command nodes in a large area

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