Management and control node selection method in content center wireless network

Abstract

The invention discloses a management and control node selection method in a content center wireless network. The method comprises the steps that current network topology is abstracted into a weighted undirected graph G, and the topology potential of each node in the graph G is calculated; any initial node ni is selected, and searching is started based on the topology potential until the node with the maximum local topology potential is found out; then searching is started from the node with the maximum local topology potential in the descent direction of the topology potential until the tip node is reached; the nodes related in the searching process in the descent direction of the topology potential are divided into virtual network cells; after all the nodes in the graph G are divided, the nodes with the maximum local topology potential in all the virtual network cells are used as the management and control nodes in the virtual network cells. The management and control node selection method is used, the time delay for searching and feeding back of the content in the cells is shortened, and the quality of whole network communication service is improved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for selecting a management and control node in a content-centric wireless network. Background technique [0002] With the rapid development of network technology and applications, the limited, rigid, poor management and control capabilities of network resources and the diversity and suddenness of network requirements have become the main contradictions faced by network operations. How to efficiently utilize existing network resources to maximize the satisfaction of users' business needs and requirements for service quality has become an important problem to be solved urgently. [0003] In the research of future network architecture, Content-Centric Network (CCN) aims at users' increasing demand for content-related services, and researches a new network architecture that uses content as network identification to replace the existing network IP thin waist. ...

AI Technical Summary

Problems solved by technology

However, the algorithm is essentially an optimal allocation strategy for network bandwidth resources

The algorithm only uses the flow pressure parameter as the only single index to select ICP nodes, and does not comprehensively evaluate the processing capacity, storage capacity and other attributes of the nodes. It cannot guarantee that the selected ICP nodes have sufficient management capabilities, resulting in insufficient monitoring capabilities. even fail

In addition, the algorithm only considers the overall traffic of the network, and does not conduct a specific analysis of the available traffic of each link in the network, which will lead to excessive load on local links and reduce transmission quality

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