Wireless Access Point Association Based on Proximity
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Solution Overview
Problem
In network environments with multiple wireless access points, network devices often connect to access points with lower data communication capabilities, leading to lower data throughput and user experience due to suboptimal connections.
Innovation Solution
A method and system that prioritize network device connections to wireless access points based on historical proximity and connectivity metrics, using signal strength metrics to determine a prioritized access point and perform connection prioritization actions to ensure optimal data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network devices connect to any wireless access point in the network environment, then connection simplicity is improved, but data throughput and network performance deteriorate
Solution Approach 1:
The system pre-calculates and stores optimal access point associations for network devices based on historical connectivity data, signal strength metrics, and proximity information before connection requests occur. When a device requests connection, the pre-determined optimal access point is immediately assigned, avoiding real-time complex calculations while ensuring optimal performance.
Solution Approach 2:
The system continuously collects feedback data including signal strength metrics, historical connectivity records, and proximity measurements to dynamically update and refine access point association recommendations. This feedback loop enables the system to adapt to changing network conditions and device locations, maintaining optimal throughput while preserving connection simplicity.
2Speed
If network devices connect to the first identified access point, then connection speed is improved, but data communication capability deteriorates
Solution Approach 1:
The system performs preliminary analysis of signal strength metrics, historical connectivity patterns, and device proximity to pre-determine the optimal access point for each device before the connection is actually established. This allows the fastest possible connection to the correct access point without requiring the device to trial-connect to multiple access points.
Solution Approach 2:
The patent replaces the mechanical trial-and-error connection process (where devices physically attempt connections to different access points) with an information-based system that uses signal metrics and historical data to intellectually determine the optimal connection target before connection occurs, substituting physical trial connections with computational prediction.
3Area of stationary object
If access points are distributed throughout the network environment, then network coverage is improved, but connection optimization complexity increases
Solution Approach 1:
The system segments the network environment by creating individual association profiles for each network device and access point pair, analyzing their specific relationships independently. This segmentation allows the complex multi-access point environment to be broken down into manageable individual assessments, reducing overall system complexity while maintaining comprehensive coverage optimization.
Solution Approach 2:
Each network device essentially serves itself by having its own dedicated association profile that automatically determines optimal access point connections based on its specific characteristics, location, and usage patterns. This self-service approach distributes the optimization complexity across individual device profiles rather than requiring centralized complex decision-making for all devices simultaneously.
Data Source
AI summary
The present embodiments relate to connecting a network device to a wireless access point in a network environment based on an association affinity between the network device and the wireless access device. A wireless access point in a network environment can receive a request for a first network device to connect to any wireless access point in the network environment that includes a signal strength metric. The wireless access point can determine whether the first network device corresponds with a prioritized wireless access point using weighted averages based on a historical derived proximity of the wireless access points in the network environment and a historical connectivity to wireless access points in the network environment. A connection prioritization action can be performed to connect the first network device with the prioritized wireless access point in the network environment based on the determination of whether the first network device corresponds with the prioritized wireless access point.


