Network Presence Detection via Multi-Modal Sensor Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network connectivity issues arise when a client device is communicatively coupled with a LAN via an alternative route, leading to unnoticed disconnection and user frustration, as existing technologies fail to detect anomalies effectively, especially when devices switch to alternate connectivity modes like cellular or hotspot networking.
Innovation Solution
The solution involves using alternate presence detection mechanisms, such as a radio frequency module or Bluetooth low energy (BLE) to confirm user presence within the LAN, and implementing a location tracking application to monitor Wi-Fi connectivity, thereby providing proactive configuration updates and reducing false triggers by confirming user presence through multiple indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network relies solely on Wi-Fi connectivity detection, then the network administrator can monitor Wi-Fi connections, but the system fails to detect devices that have switched to alternative connectivity modes (cellular, hotspot), resulting in false negative anomaly detection
Solution Approach 1:
The system employs multiple presence detection mechanisms (Wi-Fi monitoring, Bluetooth Low Energy scanning, GPS location tracking, cellular tower triangulation) that can serve different functions. These mechanisms are not dedicated to single purposes but can detect various aspects of device presence, allowing the system to maintain reliable anomaly detection without requiring a complex dedicated system for each detection method.
Solution Approach 2:
The patent introduces an intermediary presence analysis engine that coordinates between different detection mechanisms. This engine acts as a mediator that synthesizes data from Wi-Fi monitoring, BLE scans, GPS, and cellular information to determine overall device presence, reducing the complexity burden on individual components while maintaining high detection reliability.
2Reliability
If the network implements multiple presence detection mechanisms (Wi-Fi, Bluetooth, GPS, cellular), then the system can accurately detect device presence regardless of connectivity mode, but the device complexity and resource consumption increase
Solution Approach 1:
The system implements periodic presence detection rather than continuous monitoring. The network device performs BLE scans and GPS checks at intervals, and the presence analysis engine periodically updates device status. This periodic approach maintains detection accuracy while significantly reducing energy consumption compared to continuous monitoring of all mechanisms simultaneously.
Solution Approach 2:
The system dynamically adjusts which detection mechanisms are active based on current conditions. When Wi-Fi connectivity is established, other mechanisms may be reduced or deactivated. When connectivity anomalies are detected, the system activates additional detection methods. This dynamic adaptation optimizes energy usage while maintaining reliable presence detection.
3Ease of operation
If the network uses reactive anomaly detection (waiting for connectivity failure), then the system is simpler to implement, but user frustration increases due to unnoticed disconnection and lost connectivity opportunities
Solution Approach 1:
The system performs preliminary presence verification using multiple mechanisms before connectivity failure occurs. By continuously checking device presence through Wi-Fi, BLE, GPS, and cellular data, the system can detect anomalies before they result in complete disconnection. This preliminary detection prevents the time loss associated with reactive response while maintaining operational simplicity through automated monitoring.
Solution Approach 2:
The presence analysis engine provides continuous feedback about device presence status to the network system. This feedback mechanism enables proactive identification of connectivity anomalies by comparing expected presence (based on location, device activity) with actual connectivity status. The feedback loop maintains simple operation while enabling early anomaly detection, reducing the time to respond to connectivity issues.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach ensures reliable and robust connectivity by detecting network onboarding failures and reducing false anomaly responses, ensuring that client devices remain connected and available within the LAN, even when primary connectivity modes are inactive.
Implementation Method 1
using alternate presence detection mechanisms, such as a radio frequency module
Implementation Method 2
Bluetooth low energy (BLE) to confirm user presence within the LAN
Data Source
AI summary
A method including identifying that a client device is physically presented within a coverage area corresponding to a network is provided. The client device is associated with a user having a user credential to log in to the network, and the method includes determining that the client device has not requested to log in to the network using the user credential, and generating an alert to an administrator of the network responsive to both (1) that the client device is physically presented within the coverage area and (2) that the client device has not requested to log in to the network.