Mobile Device Location Tracking via Predictive Route Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current location-based services struggle to efficiently recover high-value mobile devices that are lost or stolen, as existing methods require frequent location queries, which are resource-intensive and costly, and do not effectively account for both IMS and non-IMS devices.
Innovation Solution
A system and method that leverage location information from existing services to drive a recovery process, using an IMS compliant presence server and location platform to track device presence and behavior, optimizing location fixes based on predictable routes and battery life, and allowing subscriber-initiated notifications to reduce resource overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent location queries are performed to track mobile devices, then device location accuracy is improved, but network resource consumption and cost increase
Solution Approach 1:
The system performs location fixes periodically rather than continuously, using predictable routes to determine when location updates are necessary. This reduces the frequency of location queries while maintaining accurate tracking of mobile devices along their expected paths.
Solution Approach 2:
The system uses the mobile device's own operational characteristics (battery life, predictable routes) to automatically optimize tracking frequency. The device self-manages its tracking needs by leveraging its own operational data rather than requiring constant external queries.
2Reliability
If continuous location tracking is performed, then device recovery capability is improved, but battery life of mobile devices decreases
Solution Approach 1:
Instead of continuous location tracking, the system uses periodic location fixes based on predictable routes and battery life considerations. This maintains recovery capability by updating locations at optimal intervals without draining the device battery continuously.
Solution Approach 2:
The system dynamically adjusts tracking parameters based on battery life and route predictability. When battery life is low or the route is highly predictable, the system reduces tracking frequency, thereby conserving energy while maintaining sufficient recovery capability.
3Productivity
If location fixes are optimized based on predictable routes, then resource overhead is reduced, but location update frequency must be carefully managed
Solution Approach 1:
The system uses predictable routes to anticipate where the device will be and when location updates are needed. This preliminary planning allows the system to schedule location fixes optimally, reducing resource overhead while ensuring timely updates before the device reaches critical locations.
Solution Approach 2:
The system continuously monitors device behavior and route actuality to refine future location fix timing. Feedback from actual device movement patterns allows the system to adjust update frequencies dynamically, balancing resource efficiency with timely location information.
Data Source
AI summary
A location based service and method configured to provide recovery assistance for a misplaced or stolen mobile device. The location based system and method is configured to locate (recover) high value mobile devices using location, presence and other IMS (IP Multimedia Subsystem) based telecommunications network assets. The method includes leveraging location dips performed for other services to drive a recovery process for a mobile device to thereby reduce resource overhead on a location platform; locating the mobile device using the location dips performed for other services; and sending a notification to a subscriber of the location of the mobile device for recovery of the mobile device.