Mobile Device Peer Recommendation via Local P2P Querying
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Solution Overview
Problem
Existing communication technologies among devices are limited to predefined functions and lack the ability to provide dynamic recommendations based on real-time data from nearby devices, particularly for assessing the safety of app installations and enforcing policies in local peer-to-peer networks.
Innovation Solution
A method and apparatus that enable mobile devices to communicate wirelessly and form local peer-to-peer networks to share operational parameters, such as traffic, processor, and battery statistics, to generate recommendations for users, including assessments on app safety and policy compliance, by querying nearby devices and analyzing responses to determine the majority's behavior and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices communicate using predefined functions only, then communication reliability is maintained, but communication versatility deteriorates
Solution Approach 1:
The patent enables mobile devices to perform multiple communication functions beyond predefined capabilities. Devices can dynamically switch between predefined reliable communication modes and ad-hoc peer-to-peer modes, allowing a single system to serve both reliability and versatility requirements through multi-functionality
2Measurement precision
If peer-to-peer networks are established for dynamic recommendations, then recommendation accuracy is improved, but network complexity increases
Solution Approach 1:
The patent segments the peer-to-peer network into localized groups based on geographic proximity. Instead of creating a single complex global network, devices form smaller local peer groups within specified distances, reducing individual device complexity while maintaining recommendation accuracy through localized data collection
3Reliability
If devices share operational parameters locally, then recommendation reliability is improved, but data transmission overhead increases
Solution Approach 1:
The patent applies local quality by having devices share operational parameters only with nearby peers within a specified geographic distance, rather than transmitting data globally. This localized approach maintains recommendation reliability through sufficient local data samples while reducing energy consumption and transmission overhead by limiting communication scope
Data Source
AI summary
A recommendation for a user is generated in response to a user request. The recommendation can pertain to whether a user should download and install a mobile device application and is based on a number of responses received from other mobile devices within a specified distance from the mobile device at which the recommendation was requested. Recommendations can also be requested and generated by various other devices in machine-to-machine networks. Recommendations can pertain to policy enforcement and device component performance or operation.


