Wireless Device Pairing Management via Priority Control
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Solution Overview
Problem
The increasing number of short-range wireless devices, such as Bluetooth devices, leads to complexity in pairing and unpairing processes, requiring manual intervention from users to achieve target pairings, which is inefficient and user-unfriendly.
Innovation Solution
A control system that determines and manages short-range wireless connection priorities among devices based on device types, usage contexts, ownership, and pairing histories to automate the pairing process, dynamically altering priorities as needed to optimize device connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of short-range wireless devices increases, then device connectivity and functionality are improved, but pairing complexity and user burden increase
Solution Approach 1:
The system enables devices to automatically perform pairing operations without user intervention. The control module monitors device proximity, determines pairing priorities based on device types and usage contexts, and executes pairing/unpairing actions automatically, allowing the system to serve itself rather than requiring user management of each pairing operation
Solution Approach 2:
The system dynamically changes pairing parameters by adjusting connection priorities based on device types, usage contexts, and environmental factors. This allows the pairing behavior to adapt to different situations automatically, resolving the complexity issue while maintaining versatile connectivity
2Ease of operation
If manual pairing intervention is required, then precise pairing control is achieved, but user efficiency and experience deteriorate
Solution Approach 1:
The control module automatically manages pairing operations by monitoring device contexts, determining priorities, and executing connections without user input. This eliminates the time-consuming manual pairing process while maintaining intelligent control over which devices should be paired based on predefined criteria and real-time conditions
3Extent of automation
If automatic pairing is implemented, then user intervention is reduced, but pairing accuracy and user intent alignment may worsen
Solution Approach 1:
The system enhances pairing accuracy by dynamically adjusting connection priorities based on multiple parameters including device types, usage contexts, proximity measurements, and historical pairing data. This multi-factor parameter evaluation ensures automatic pairing decisions align with user intent and optimal device connectivity requirements
Solution Approach 2:
The control module continuously monitors pairing states, device contexts, and connection quality, using this feedback to adjust pairing priorities and make real-time decisions about which devices should be paired or unpaired. This feedback mechanism ensures pairing accuracy maintains alignment with user needs while operating automatically
Data Source
AI summary
A method may include detecting a first wireless device configured to perform short-range wireless communications and detecting a second wireless device configured to perform short-range wireless communications. The method may also include determining one or more short-range wireless connection priorities with respect to a first pairing and a second pairing. The first pairing may be with respect to short-range wireless communications between the first wireless device and a third wireless device configured to perform short-range wireless communications. The second pairing may be with respect to short-range wireless communications between the second wireless device and the third wireless device. The method may further include managing the first pairing and the second pairing based on the one or more short-range wireless connection priorities.