A minimum weight vertex cover solution method for distributed network systems based on game theory

Abstract

The invention discloses a game theory based distributed network system minimum weight vertex coverage solution method. The method comprises the steps of firstly building a payment function, a potential function, an action and a memory vector of each vertex in a distributed network system; then updating to obtain a memory vector of each vertex at the next moment and further to obtain action of each vertex at the next moment; and finally updating repeatedly to obtain a memory vector of each vertex at the next moment and the corresponding action until the action of each vertex no longer changes, and regarding the no-longer changed action set of each vertex as the optimal solution of the minimum weight vertex coverage of the distributed network system. By a distributed information structure, a node in the method makes decisions and studies only based on local information of neighbor domains, human intervention or global information is not required, the system communication cost can be reduced, the system robustness can be improved, and good use value is obtained.

Description

technical field [0001] The invention relates to the intersection field of distributed artificial intelligence, multi-agent system and optimization theory, in particular, a method for solving the minimum weight vertex covering of distributed network system based on game theory. Background technique [0002] A distributed network system generally refers to a large-scale multi-agent system composed of multiple nodes with perception, communication and computing capabilities. With the development of microelectronics technology and wireless communication technology, distributed network system has gradually become an effective way to replace human beings to perform tasks such as environmental monitoring and investigation. In the military, a distributed sensor network composed of ground, air and space robots can be configured to troops at all levels for reconnaissance and surveillance, providing troops with information such as high-definition images, real-time battlefield informatio...

AI Technical Summary

Problems solved by technology

On the one hand, the system performance under the centralized control structure depends heavily on the health status of the central node, and the failure of the central node will lead to system paralysis or even collapse, and the robustness is poor; on the other hand, for distributed network systems, All nodes can only obtain local neighborhood information, and there is no central node with global information, so it is necessary to develop a new minimum-weight vertex cover solution method based on distributed information interaction

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