Location-Based Information Retrieval System
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Solution Overview
Problem
Existing electronic communication systems fail to effectively communicate between unrelated mobile devices without contact information, often broadcasting requests to a broad audience rather than a targeted subset relevant to the location-based inquiry.
Innovation Solution
Systems and processes that identify and transmit location-based requests to computing devices associated with specific locations, using a processor to analyze requests and determine relevant devices, allowing for targeted responses without the need for contact information, and implementing a common ad hoc user base for location-based services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If requests are transmitted to a broad group of recipients, then the probability of reaching a relevant device increases, but energy consumption and processing intensity increase
Solution Approach 1:
The system segments the broad recipient group into targeted subsets based on location data. Instead of broadcasting to all devices, the server divides recipients into specific geographic zones and only transmits requests to devices within relevant zones, reducing overall energy consumption while maintaining reliability of reaching relevant devices.
Solution Approach 2:
The system applies local quality by transmitting requests with different characteristics to different geographic locations. Each location receives tailored requests based on its specific context, ensuring relevant devices are reached while minimizing unnecessary transmissions to unrelated areas, thus reducing energy waste.
2Reliability
If requests are transmitted to a broad group of recipients, then the probability of reaching a relevant device increases, but processing intensity increases
Solution Approach 1:
The server segments the processing load by geographically distributing request transmissions. Each recipient device processes only locally relevant requests rather than filtering through broad broadcasts, reducing individual device processing intensity while maintaining system-wide reliability through coordinated segmentation.
Solution Approach 2:
The system performs preliminary actions by pre-filtering and geographically routing requests before transmission. The server prepares and directs requests to specific geographic zones in advance, so recipient devices receive already-filtered, location-relevant requests, reducing their processing intensity while ensuring reliability.
3Measurement precision
If precise location determination is performed for all devices, then accuracy of location-based matching increases, but energy consumption and processing intensity increase
Solution Approach 1:
The system applies local quality by determining precise locations only for devices in specific geographic zones where relevant activity is detected. Devices in low-activity zones use rough location estimates, while devices in high-activity or request-relevant zones undergo precise location determination, optimizing energy consumption while maintaining matching accuracy where needed.
Solution Approach 2:
The system performs partial location determination by applying precise location measurement only partially - specifically to devices and zones where it provides necessary value. Rather than excessive full-coverage precise tracking, the system selectively applies precise location determination to relevant contexts, reducing overall energy consumption while maintaining sufficient accuracy.
4Measurement precision
If precise location determination is performed for all devices, then accuracy of location-based matching increases, but processing intensity increases
Solution Approach 1:
The system applies local quality by implementing precise location determination only in specific geographic zones and contexts where high accuracy is necessary for matching. Other zones use simplified location assessment, reducing overall system processing intensity while maintaining matching accuracy in critical areas.
Solution Approach 2:
The system performs partial location determination by applying precise measurement partially - only where and when needed for accurate matching. This selective approach avoids excessive full-coverage precise tracking, reducing processing intensity across the system while maintaining necessary accuracy for location-based requests.
Data Source
AI summary
Systems, devices and methods are provided for solving technical problems related to communicating between two or more unrelated mobile devices based on location without needing contact information for the unrelated mobile computing devices. In various implementations, the service is adapted to use a common user base for a location-based matching process. In some implementations, a rough order of magnitude is maintained for users until the user is identified as a potential responder to a location-based request at which time a location request may be made to a mobile computing device. Further, parallel location based requests, such as surveys, may be performed.