Adaptive Data Request Transmission Based on Usage Patterns
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Solution Overview
Problem
Conventional mobile devices transmit data requests at fixed intervals, leading to battery drain and unnecessary bandwidth consumption, as they often retrieve data when it is not needed, resulting in inefficient power usage and increased costs for users.
Innovation Solution
Implementing a system that monitors application and contextual usage characteristics to identify user behavior patterns, allowing devices to transmit data requests only when needed, based on trend data analysis, thereby optimizing data retrieval and reducing unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data requests are transmitted at fixed intervals, then data availability is ensured, but battery life is reduced and bandwidth is wasted
Solution Approach 1:
The patent applies dynamics by transitioning from fixed-interval data requests to adaptive timing based on user behavior patterns. The system dynamically adjusts when to transmit data requests by monitoring application usage characteristics and contextual information, then sending requests only when users are likely to need data. This resolves the contradiction by making the system responsive to actual needs rather than operating on rigid schedules, thereby improving battery life while maintaining data availability when required.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring user application usage patterns and contextual characteristics. This feedback loop enables the system to learn when users typically access specific applications and proactively retrieve data before it is needed. The feedback-driven approach allows the system to optimize transmission timing based on observed behavior, reducing unnecessary transmissions that drain battery while ensuring data is available when users actually need it.
2Reliability
If data requests are transmitted at fixed intervals, then data freshness is maintained, but bandwidth consumption increases
Solution Approach 1:
The patent applies partial action by transmitting data requests selectively rather than continuously at fixed intervals. Instead of maintaining constant communication with servers, the system performs partial transmissions only when user behavior patterns indicate actual data needs. This approach maintains sufficient data freshness for user requirements while significantly reducing bandwidth consumption by eliminating redundant transmissions during periods when users are unlikely to need data.
3Ease of operation
If automated data retrieval is implemented, then user convenience is improved, but unnecessary data transmission occurs
Solution Approach 1:
The patent implements preliminary action by proactively retrieving data before users actually need it, based on learned usage patterns. The system monitors when users typically access specific applications and automatically retrieves required data in advance during optimal times. This preliminary action maintains user convenience by ensuring data is ready when needed, while reducing power usage by performing transmissions strategically rather than continuously or reactively.
Data Source
AI summary
In general, this disclosure describes example techniques to transmit a request for data for one or more applications based on usage patterns of the one or more applications by a user. A device such as, but not limited to, a mobile device may monitor usage characteristics of the one or more applications. The device may transmit a request for data used by the one or more applications executed on the device based on the monitored usage characteristics.