Dynamic Geofence Sizing for IoT Power Management
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Solution Overview
Problem
In the context of IoT devices with location capabilities, there is a challenge in determining an optimal size for geofences that balance power consumption and detection probability, especially for devices with varying location update intervals and movement patterns.
Innovation Solution
A method that determines the size of a geofence based on parameters such as location update intervals and device speed, using functions that adjust the geofence size monotonically with these inputs to ensure detection while minimizing power consumption, with the option to maintain or modify the shape of the geofence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the location update interval is extended to reduce power consumption, then energy efficiency improves, but the detection probability of geofence events deteriorates
Solution Approach 1:
The geofence size is dynamically adjusted based on the location update interval. When the update interval increases, the geofence size increases proportionally to maintain detection probability. This dynamic adaptation resolves the contradiction by allowing the system to consume less energy (longer intervals) while maintaining reliable detection through compensatory increases in geofence size.
Solution Approach 2:
The system changes the parameter of geofence size in response to changes in the location update interval parameter. By establishing a proportional relationship where geofence size scales with the update interval, the system maintains detection reliability across different power consumption modes, effectively resolving the trade-off between energy efficiency and detection probability.
2Reliability
If the geofence size is increased to improve detection probability, then detection reliability improves, but the area covered increases which may affect power consumption
Solution Approach 1:
The system adjusts the geofence size parameter proportionally to the location update interval. This ensures that detection probability is maintained without unnecessarily increasing the geofence area beyond what is required for reliable detection, thus avoiding excessive power consumption while maintaining detection reliability.
3Reliability
If the location update interval is shortened to improve detection probability, then detection reliability improves, but power consumption increases
Solution Approach 1:
The system dynamically adjusts geofence size based on the location update interval. When updates are frequent (short interval), the geofence size can be smaller while maintaining detection probability, thereby reducing power consumption. This dynamic relationship allows the system to optimize both detection reliability and energy usage based on actual operational conditions.
Data Source
AI summary
It is inter-alia disclosed a method performed by an apparatus, said method comprising: determining a representative of a size of a geofence based on one or more parameters, wherein at least one parameter of the one or more parameters is indicative of a location update interval associated with a mobile device.


