Geofence Client Location Pathway Verification
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Solution Overview
Problem
Existing wireless network technologies face challenges in accurately determining the location of clients within geofences, particularly when clients are moving between boundaries, leading to errors in location estimation due to the absence of clear pathways between geofences.
Innovation Solution
The implementation of a method that uses non-transitory computer-readable media to store instructions for processing resources to determine the existence of pathways between geofences based on prior client movements and boundary indications, allowing for accurate location verification by distinguishing between clients moving towards and within geofences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If client location is estimated based on movement direction towards boundary intersection, then location estimation can be simplified, but location accuracy deteriorates when no pathway exists between geofences
Solution Approach 1:
The system performs preliminary actions by determining pathways between geofences in advance based on historical client movement data. This preliminary pathway information is stored and used to verify whether a client can actually transition between geofences, preventing inaccurate location estimates before they occur.
Solution Approach 2:
The system uses feedback by comparing the estimated client location with the pre-determined pathway information. When the estimated location suggests a client is in a second geofence but no pathway exists, the system receives feedback that the estimation is incorrect and adjusts the location determination accordingly.
2Measurement precision
If pathway verification is implemented to improve location accuracy, then location estimation precision improves, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by determining pathways between geofences in advance based on historical client movement data. This preliminary pathway information is stored and used to verify whether a client can actually transition between geofences, preventing inaccurate location estimates before they occur.
Solution Approach 2:
The system uses self-service by automatically learning and storing pathway information from historical client movement patterns. The system serves itself by building its own verification database without requiring manual configuration of geofence pathways, reducing operational complexity.
3Reliability
If pathway determination based on historical movements is used, then location verification accuracy improves, but data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by determining pathways between geofences in advance based on historical client movement data. This preliminary pathway information is stored and used to verify whether a client can actually transition between geofences, preventing inaccurate location estimates before they occur.
Solution Approach 2:
The system uses copying by creating a simplified representation of physical pathways as logical pathway data structures. Instead of processing complex real-time movement data, the system creates copies of pathway information that can be efficiently queried and compared against client location estimates.
Data Source
AI summary
Example implementations relate to client boundary location. For example, a non-transitory computer readable medium storing instructions executable by a processing resource to cause a computer to estimate a location of a client within a first boundary; determine whether there is a pathway between the first boundary and a second boundary for the client to move; and indicate whether the client is in the first boundary or the second boundary based on the determination of the pathway and the estimated location of the client.