Time-Based Geofencing Queries for Battery and Bandwidth Optimization
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Solution Overview
Problem
Conventional geolocation systems consume excessive battery power and bandwidth due to frequent location queries, especially when geofencing is used, as devices continuously check their location relative to a geofence even before arrival and after departure, leading to unnecessary resource utilization.
Innovation Solution
Implementing time-based geolocation queries with designated planned arrival and/or departure times, which reduces the number of queries and increases query frequency only during relevant times, providing higher resolution geolocation information and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent location queries are performed to maintain high geolocation tracking accuracy, then measurement precision is improved, but use of energy and bandwidth increase
Solution Approach 1:
The system implements time-based periodic location queries where devices only query their location during specific time windows surrounding planned arrival and departure times. Outside these windows, location queries are suspended, dramatically reducing energy consumption while maintaining relevant tracking accuracy for geofencing events.
Solution Approach 2:
The system receives and processes planned arrival times in advance, allowing devices to pre-calculate optimal query intervals and prepare for upcoming geofencing events. This preliminary action enables the system to activate high-frequency tracking only when necessary, rather than maintaining continuous tracking.
2Measurement precision
If frequent location queries are performed to maintain high geolocation tracking accuracy, then measurement precision is improved, but bandwidth consumption increases
Solution Approach 1:
Location updates are transmitted periodically only during active time windows when devices are expected to enter or exit geofences. This reduces the total number of location queries and updates transmitted over the network, conserving bandwidth while maintaining tracking accuracy during critical periods.
3Reliability
If continuous location monitoring is performed outside geofenced areas, then reliability of geofencing is improved, but use of energy increases
Solution Approach 1:
The system extracts and removes unnecessary location monitoring activities from periods when devices are definitively outside geofenced areas. By using planned arrival and departure times to define active monitoring windows, the system eliminates energy-wasting queries during periods when geofencing events cannot occur.
4Use of energy by moving object
If location queries are reduced to save energy, then use of energy is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically adjusts location query frequency based on temporal context. During active time windows surrounding planned arrival and departure times, query frequency increases to provide high-resolution tracking. During inactive periods, query frequency drops to minimal intervals, optimizing the balance between energy consumption and tracking accuracy.
Data Source
AI summary
The present disclosure describes systems and methods for time-based geolocation queries, with designated planned arrival and/or departure times or event start/end times. The number of queries can be drastically reduced to reduce battery, bandwidth, and processing requirements; or the rate of queries can be increased within a specified time frame, providing much higher resolution of geolocation information. Geolocation information may be monitored via notifications from portable devices to identify demographics of users within identified regions and subregions, allowing real-time, dynamic comparison of demographic information between locations, such as restaurants, clubs, or events.