Mobile Client Wireless Network Connection Adaptation
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Solution Overview
Problem
Existing wireless networking systems face challenges in optimizing energy conservation and end-to-end performance for mobile clients due to unpredictable cellular signals, varying access point densities, and reliance on signal strength for AP selection, which can lead to increased congestion and inaccurate performance indicators.
Innovation Solution
A method that periodically triggers access point scanning based on access point density changes, adjusts scanning frequency according to client movement, and selects APs based on link quality and load characteristics to maximize energy conservation and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If periodic scanning of Wi-Fi networks is performed to identify available networks, then wireless access opportunities are improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic scanning frequency adjustment based on mobility state. The system transitions between different scanning modes (first scanning frequency for high mobility, second scanning frequency for low mobility) based on detected mobility characteristics, optimizing the balance between access opportunity and energy consumption
Solution Approach 2:
The patent changes the scanning parameter (scanning frequency) based on mobility state. By detecting mobility characteristics and adjusting the scanning frequency parameter accordingly, the system adapts to different operational conditions to minimize energy consumption while maintaining access opportunities
2Reliability
If mobile hosts frequently scan ISM spectrum bands and actively probe wireless links to maximize Wi-Fi usage, then connectivity is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts probing behavior based on mobility state. During high mobility periods, the system reduces active probing to conserve energy, while during low mobility periods, it performs more thorough probing to ensure optimal connectivity, thus balancing reliability and energy consumption
3Ease of operation
If signal strength based mechanism is used for ranking access points, then AP selection is simplified, but performance accuracy deteriorates
Solution Approach 1:
The patent segments the AP selection process into two stages: initial filtering based on signal strength (RSSI) and secondary ranking based on throughput measurement. This segmentation allows the system to use simple signal strength for quick elimination of poor candidates while using accurate throughput measurements for final selection, balancing simplicity and precision
Data Source
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AI summary
A method for connecting a mobile client to a wireless network includes periodically triggering an access point scanning process so as to monitor an access point density of a wireless network. A frequency of the triggering is adjusted in response to a change in the access point density.