Dynamic Geo-Fence Determination Timing for Mobile Devices
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Solution Overview
Problem
Existing geo-fencing methods face inefficiencies due to fixed time intervals for determining whether a mobile device has entered or exited a designated geographical area, leading to either untimely or inaccurate results, as well as increased energy and traffic consumption when intervals are too frequent or infrequent.
Innovation Solution
A method and device that dynamically adjust the time interval for geo-fence determination based on the mobile device's location and movement, using a migration threshold and a dynamic time interval method to optimize when and how often geo-fence checks are performed, thereby improving accuracy and reducing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If fixed time intervals for geo-fence determination are spaced too far apart, then energy consumption and traffic are reduced, but determination timeliness and accuracy deteriorate
Solution Approach 1:
The patent applies dynamics by transitioning from fixed time intervals to dynamic time intervals for geo-fence determination. The system adjusts the determination frequency based on real-time factors such as device movement state, distance to geo-fence boundaries, and historical determination results. When the device is moving quickly or approaching a boundary, determination frequency increases; when stationary or far from boundaries, frequency decreases. This dynamic adjustment resolves the contradiction by optimizing both energy consumption and determination accuracy adaptively.
Solution Approach 2:
The patent changes the parameter of time interval from a fixed value to a variable parameter that adapts to different scenarios. By introducing multiple parameters including device movement state, distance to geo-fence, and determination history, the system calculates optimal determination intervals dynamically. This parameter transformation allows the system to reduce energy consumption during low-risk periods while maintaining high determination accuracy when needed.
2Reliability
If fixed time intervals for geo-fence determination are spaced too closely together, then determination timeliness and accuracy are improved, but energy consumption and traffic increase
Solution Approach 1:
The system implements dynamic adjustment of determination intervals based on real-time conditions. When the device is stationary or moving slowly and far from geo-fence boundaries, the system extends the determination interval to reduce energy consumption and traffic. Conversely, when the device moves quickly or approaches boundaries, the interval shortens to maintain accuracy. This dynamic behavior resolves the contradiction by adapting resource usage to actual needs.
Solution Approach 2:
The patent applies partial action by performing geo-fence determination only when necessary rather than continuously or at fixed intervals. The system evaluates multiple conditions (movement state, distance to boundary, historical data) and performs determination only when the risk of missing a boundary crossing is significant. This selective approach maintains determination accuracy while avoiding unnecessary energy consumption and traffic during low-risk periods.
3Measurement precision
If geo-fence determination is performed frequently, then determination accuracy is improved, but device productivity and resource efficiency deteriorate
Solution Approach 1:
The patent transforms the static determination frequency into a dynamic parameter that adapts to device state and environmental context. The system continuously monitors movement state, distance to geo-fences, and determination history to adjust the next determination time dynamically. This ensures high measurement precision when the device is likely to cross boundaries while improving resource efficiency during periods when crossings are unlikely.
Solution Approach 2:
The system changes the determination frequency from a fixed parameter to a variable parameter influenced by multiple factors including device velocity, distance to nearest geo-fence boundary, and temporal patterns. By calculating optimal intervals based on these parameters, the system achieves high determination accuracy only when necessary, thereby improving overall resource efficiency and device productivity.
Data Source
AI summary
Embodiments of the present application relate to a method and apparatus for determining positioning of a device in connection with a geo-fence. The method includes obtaining fence information associated with a plurality of geo-fences from a local storage, determining whether to perform geo-fence determination, and in the event that geo-fence determination is determined to be performed, sequentially determining whether the mobile device is currently located within one of the plurality of geo-fences, wherein a sequence according to which the sequential determination is performed is based at least in part on distances between corresponding ones of at least two of the plurality of geo-fences and a current location of the mobile device, and determining, based at least in part on a location of a geo-fence among the at least two of the plurality of geo-fences that is currently nearest to the mobile device, a determination time for a next geo-fence determination.