Method and device for collecting network parameters of WLAN (Wireless Local Area Network)

Abstract

The invention provides a method and a device for collecting network parameters of a WLAN (Wireless Local Area Network). The method comprises the following steps of: setting at least one label for network parameters to be collected, wherein the label includes an equipment type, a manufacturer name and a corresponding collection mode; and collecting the network parameters according to the set label, i.e. obtaining the corresponding collection mode from the label corresponding to the network parameters to be collected according to the equipment type and the manufacturer name of a network element and collecting the network parameters according to the obtained collection mode. The invention can collect the parameters of miniature wireless equipment of multiple brands and different protocols, diversify collection measures and collection parameters and reduces the development workload in adding new equipment or newly collecting indexes.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method and device for collecting network parameters of a wireless local area network (WLAN). Background technique [0002] WLAN has developed from a small and medium-scale wireless local area network used by individuals or enterprises to a large-scale wireless access network built by operators, and its network structure and network management are also changing. At present, major operators at home and abroad have begun to build WLAN networks on a large scale. The number of access points (APs) in only one small and medium-sized city has reached tens of thousands, and there will be equipment from multiple manufacturers in the network. To meet the requirements of the operation level, the WLAN network puts forward high requirements on the health guarantee of network operation and the behavior analysis of access users. [0003] There are major differences between WLAN networks ...

AI Technical Summary

Problems solved by technology

This architecture is very close to human thinking (natural process of first big and then small), but its scalability is fundamentally constrained, and expensive development, customization and implementation costs must be paid to support new devices

Especially in WLAN systems, this shortcoming is more prominent

[0019] In addition, the above general network management platform also has a defect, which exists in the data collection layer of the network management platform, which only collects data through the SNMP protocol

The WLAN devices that only provide WEB management functions or CMD command set management functions cannot be remotely managed by using the SNMP protocol

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