Contextual Geo-Location Idling via Historical Data Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile device location tracking methods, such as GPS and aGPS, frequently deplete battery life and consume bandwidth, while location-based services require frequent pings to ensure accuracy, leading to inefficiencies and potential battery drain.
Innovation Solution
A system that uses contextual analysis of historical data exchange patterns to infer the current location of a mobile device, reducing the need for frequent location requests by correlating current data exchanges with established patterns, thereby minimizing the requirement for traditional location pings from the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent location pings are sent to mobile devices using GPS or aGPS, then location accuracy is improved, but battery life deteriorates
Solution Approach 1:
The system allows mobile devices to self-report location information during data exchanges without requiring external ping requests. The device autonomously includes location data in its uplink communications, eliminating the need for frequent downlink ping requests and reducing overall signaling overhead while maintaining location tracking capability
Solution Approach 2:
Location information is collected and reported in advance during regular data exchange operations. By embedding location data in routine uplink communications, the system prepares location information before any potential location query arises, avoiding the need for separate location request-transmit cycles that would consume additional battery power
2Measurement precision
If frequent location pings are sent to mobile devices, then location accuracy is improved, but data consumption increases
Solution Approach 1:
The system merges location reporting with existing data exchange communications. Location information is combined with regular uplink data transmissions, so that a single communication carrier serves dual purposes: transmitting both application data and location information, thereby eliminating redundant signaling and reducing total data consumption
3Measurement precision
If traditional location tracking methods are used, then location accuracy is maintained, but device complexity increases
Solution Approach 1:
The system introduces an intermediary component that analyzes uplink data exchanges to infer location information without requiring direct GPS/aGPS queries. This intermediary layer processes existing communication data to derive location context, reducing the need for complex location-specific hardware and software operations while maintaining tracking capability
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for augmenting ping timing for mobile devices based on contextual analysis of a current data exchange based on historical data exchange data. One example system includes operations such as receiving information related to a current data exchange associated with a particular user profile. The current data exchange can be associated with a particular location, and each user profile can be associated with at least one data exchange pattern, where the data exchange pattern identifies a locational and a data exchange history of the user profile. The current data exchange is compared to a data exchange pattern of the particular user profile. If the current data exchange does not correspond, a request for the user's current location is transmitted to an associated user device. If the current data exchange does correspond, the current data exchange is associated with the particular location.