Dynamic Ping Rate Adjustment for Location Tracker Battery Life
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Solution Overview
Problem
Current location tracking solutions with fixed ping rates can negatively impact battery life and lead to inefficient user intervention when a location tracker breaches a geofence, as they often direct users to previous locations rather than the tracker's current position.
Innovation Solution
Implementing a method to dynamically adjust the ping rate based on real-time data, including battery level, velocity, and geofence breach status, to extend battery life and predict the location tracker's path, allowing users to intercept the tracker more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If a fixed ping rate is used for location tracking, then the location data transmission is simple and consistent, but the battery life is negatively impacted due to unnecessary transmissions when the tracker is stationary
Solution Approach 1:
The ping rate is changed from a fixed value to a dynamic value that adjusts based on the tracker's motion state. When the tracker is moving, the ping rate increases to provide more frequent location updates. When stationary, the ping rate decreases to conserve battery life. This dynamic adjustment resolves the contradiction between maintaining consistent data transmission and preserving battery life.
Solution Approach 2:
The system changes the ping rate parameter based on detected motion conditions. By monitoring velocity or motion sensors, the system adjusts the transmission interval parameter dynamically, increasing it during motion and decreasing it during stationary periods, thereby optimizing battery consumption while maintaining necessary tracking accuracy.
2Measurement precision
If a fixed ping rate is used for location tracking, then the system operation is simple, but the user is directed to previous locations rather than the tracker's current position when a geofence is breached
Solution Approach 1:
The system performs preliminary action by calculating and storing the predicted location of the tracker before the user arrives. When a geofence breach is detected, the system uses the tracker's velocity and direction to predict where it will be when the user reaches the last known position, and directs the user to this predicted location in advance, saving time and improving interception efficiency.
Solution Approach 2:
The system dynamically calculates the predicted location based on real-time velocity and direction data from the tracker. This dynamic prediction allows the system to provide accurate future position information rather than static historical data, improving both location accuracy and the time required for user interception.
3Measurement precision
If the ping rate is increased to track the tracker's current position accurately, then the location accuracy improves, but the battery consumption increases
Solution Approach 1:
The ping rate is dynamically adjusted based on the tracker's motion state rather than maintained at a high fixed rate. When the tracker is stationary or moving slowly, the ping rate is reduced to conserve battery. When the tracker is moving quickly or has breached a geofence, the ping rate is increased to maintain location accuracy. This dynamic approach resolves the contradiction between accurate tracking and battery conservation.
Solution Approach 2:
The system changes the transmission interval parameter (ping rate) based on motion conditions and tracking needs. By adjusting this parameter dynamically rather than maintaining a constant high rate, the system achieves necessary location accuracy only when required, significantly reducing overall battery consumption while maintaining measurement precision when needed.
Data Source
AI summary
Disclosed are techniques for calculating a predicted location of a location tracking device. In an aspect, a wireless communications device detects a breach of a geofence made by the location tracking device, receives data representing a state of the location tracking device, the state of the location tracking device comprising at least a current location of the location tracking device and a velocity of the location tracking device, and determines, based on the data representing the state of the location tracking device, the predicted location of the location tracking device.