Remote Wireless Sniffer Management for WLAN Error Detection
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Solution Overview
Problem
Existing wireless local area networks (WLANs) face challenges in identifying and resolving connectivity issues such as signal strength problems and interference, as current methods rely on limited data from either access points (APs) or wireless sniffers, which are insufficient for determining the root cause of errors.
Innovation Solution
Implementing a remote wireless sniffer management system that collects and analyzes data from both APs and wireless sniffers, using a cloud computing system to correlate and analyze the data sets, enabling efficient error detection and potential solution identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is collected from only one source (AP or wireless sniffer), then device complexity is reduced, but measurement precision is insufficient to determine root cause of errors
Solution Approach 1:
The patent combines data collection from multiple sources (access points and wireless sniffers) into a unified monitoring system. The cloud computing system aggregates sniffer data, AP data, and client device data to comprehensively analyze wireless network errors, achieving accurate root cause determination through merged multi-source information.
2Ease of operation
If remote wireless sniffer management is implemented, then ease of operation is improved by enabling remote troubleshooting, but device complexity increases due to cloud computing system requirements
Solution Approach 1:
The patent introduces a cloud computing system as an intermediary between wireless sniffers/access points and users. This intermediary enables remote data collection, processing, and analysis capabilities while shielding users from underlying system complexity. The cloud platform provides a user interface that simplifies access to detailed wireless network diagnostics.
3Measurement precision
If comprehensive data analysis is performed to identify hidden interference, then measurement precision is improved, but loss of time increases due to extensive data processing requirements
Solution Approach 1:
The patent implements preliminary data collection and organization by the cloud computing system, which continuously gathers and pre-processes sniffer data, AP data, and client device data before analysis is triggered. This preliminary action prepares the data in advance, enabling faster when analysis is needed without sacrificing comprehensive processing capabilities.
Data Source
AI summary
An example method may include receiving, from a wireless sniffer, sniffer data for a window of time, where the sniffer data may include wireless signal data. The method may also include obtaining corresponding access point data from an access point in a wireless network for at least part of the window of time for which the sniffer data is received. The method may additionally include analyzing the sniffer data and the corresponding access point data to assess performance of the wireless network.