Cloud Wi-Fi Monitoring for Proactive Network Issue Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional Wi-Fi networks lack visibility and management capabilities for service providers, leading to inefficient issue resolution, increased customer churn, and poor customer satisfaction due to the inability to monitor and troubleshoot end-user devices effectively.
Innovation Solution
A cloud-based intelligent monitoring system that provides service providers with end-to-end network visibility, enabling proactive issue identification, prediction, and resolution, as well as autonomous customer assistance, using machine learning models to analyze network data and generate actionable insights through a Network Operations Center dashboard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If service providers deploy conventional Wi-Fi networks with gateway-only monitoring, then network deployment simplicity is maintained, but network visibility and issue resolution capability deteriorate
Solution Approach 1:
The patent introduces a cloud-based monitoring system that acts as an intermediary between service providers and customer Wi-Fi networks. The gateway device collects detailed network data from multiple sources (broadband connection, Wi-Fi access points, connected devices) and transmits this information to cloud-based monitoring servers, which then provide actionable insights to service providers. This intermediary architecture enables comprehensive network visibility without requiring complex monitoring infrastructure at the service provider's end.
2Loss of time
If service providers implement comprehensive network monitoring, then issue resolution time is reduced, but system complexity and implementation cost increase
Solution Approach 1:
The monitoring system continuously collects network performance data from multiple sources including broadband connection status, Wi-Fi access point metrics, and connected device information. This data is processed by cloud-based servers that generate real-time alerts and actionable insights, providing feedback to service providers when issues are detected. The system automatically identifies problems such as connection failures, performance degradation, and device anomalies, enabling rapid issue resolution without requiring complex manual monitoring procedures.
Solution Approach 2:
The system enables service providers to autonomously identify and diagnose network issues without requiring customer intervention or complex field investigations. The monitoring infrastructure automatically collects data from the customer premises equipment, processes it through cloud-based analytics, and presents ready-to-act insights that allow service providers to resolve issues remotely and efficiently.
3Reliability
If service providers maintain reactive support models, then operational simplicity is preserved, but customer satisfaction and retention deteriorate
Solution Approach 1:
The monitoring system performs preliminary actions by continuously analyzing network data and identifying potential issues before they impact customer experience. The cloud-based platform detects anomalies in broadband connections, Wi-Fi performance, and device connectivity, generating alerts that enable service providers to proactively reach out to customers and resolve issues before they cause dissatisfaction or churn.
Data Source
AI summary
System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data based on one or more use cases; determining any of predictions and alerts for the one or more use cases based on the analyzing; and performing one or more actions based on the any of predictions and alerts.