Context-Aware Data Relay for Communication Range Extension
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Solution Overview
Problem
Existing communication systems struggle to efficiently convey relevant data between users and devices, leading to annoyance and missed information due to irrelevant data transmission, and frustration due to inability to transmit data beyond communication ranges.
Innovation Solution
The system generates outputs indicative of contexts or circumstances associated with users and communication devices by processing data from multiple devices, including position and contextual data, to provide tailored outputs to different users and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is transmitted to all users regardless of context, then data coverage is maximized, but user annoyance increases and relevant information is lost
Solution Approach 1:
The system applies local quality by customizing data transmission based on individual user contexts. Each user receives data tailored to their specific situation (e.g., location, device type, preferences) rather than a uniform approach. This ensures relevant information reaches the right user while avoiding irrelevant data that causes annoyance.
Solution Approach 2:
The system dynamically adapts data transmission strategies based on real-time context analysis. It monitors user behavior, location, and preferences to adjust what data is transmitted and to whom. This dynamic approach allows the system to respond to changing user needs and prevent both information loss and user annoyance.
2Reliability
If data transmission is limited to communication range, then transmission reliability is improved, but data accessibility decreases for users outside range
Solution Approach 1:
The system introduces communication devices as intermediaries that can relay data beyond their direct communication range. When a user is out of direct range, the system uses nearby devices (such as smartphones, tablets, or computers) as relays to forward data, effectively extending the communication reach while maintaining transmission reliability.
Solution Approach 2:
The system leverages multiple communication devices performing various functions (direct transmission, relay, storage) to ensure data accessibility. Devices can serve multiple roles - some transmit directly, others act as relays, and some store data for later delivery. This multi-functionality approach maximizes both reliability and accessibility.
3Loss of information
If contextual analysis is performed for each user, then data relevance is improved, but system complexity increases
Solution Approach 1:
The system segments the contextual analysis process into modular components: data collection modules, analysis modules, and delivery modules. Each component handles specific aspects of context processing independently, making the overall complex task manageable. Context data is collected from multiple sources (location services, device sensors, user profiles) and processed through standardized analysis frameworks.
Solution Approach 2:
The system performs preliminary context analysis and data preparation in advance. User profiles, preferences, and common contextual patterns are pre-established and stored. When data transmission is needed, the system quickly matches current context against pre-existing frameworks rather than analyzing everything from scratch, significantly reducing real-time computational complexity.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a first position of a first user, identifying a first context associated with the first user, determining, based on the first position and the first context, at least a first action that is recommended to be taken, and providing at least one output that provides an indication of the at least a first action. Other embodiments are disclosed.