Dynamic Beacon Signal Control for Indoor Positioning Systems
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Solution Overview
Problem
In indoor positioning systems, a large number of anchor nodes can lead to increased battery drain and network load for mobile devices due to the need to receive and process numerous beacon signals, which also increases delay and burden on the network.
Innovation Solution
Implementing a mechanism where a controller dynamically controls the transmission of beacon signals from anchor nodes based on feedback from the mobile device's location, activating signals only when the device is within proximity and deactivating or reducing them when outside, thereby reducing unnecessary signal broadcasting and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of anchor nodes transmit beacon signals continuously, then positioning accuracy is improved, but battery drain and network load increase
Solution Approach 1:
The system dynamically adjusts beacon signal transmission based on real-time location feedback. Anchor nodes transition between active transmission and dormant states, with transmission frequency adapted according to mobile device proximity and positioning accuracy requirements. This dynamic control resolves the contradiction by making energy consumption variable rather than static.
Solution Approach 2:
Different anchor nodes transmit beacon signals with different frequencies and intensities based on their local conditions - specifically their proximity to the mobile device and the positioning accuracy needed in their respective coverage areas. This localized approach ensures that only necessary signals are transmitted at full strength, reducing overall energy consumption while maintaining positioning accuracy where needed.
2Measurement precision
If a large number of anchor nodes transmit beacon signals continuously, then positioning accuracy is improved, but network load increases
Solution Approach 1:
Anchor nodes transmit beacon signals periodically rather than continuously, with transmission intervals adjusted based on positioning accuracy requirements and mobile device location. This periodic transmission pattern reduces network load by eliminating redundant signals while maintaining sufficient measurement data for accurate positioning calculations.
Solution Approach 2:
The system extracts and removes unnecessary beacon signals from the network transmission pool. By analyzing mobile device location and positioning accuracy requirements, the system identifies and eliminates redundant anchor node transmissions that do not contribute to positioning accuracy, thereby reducing overall network load.
3Reliability
If a large number of anchor nodes transmit beacon signals continuously, then positioning reliability is improved, but delay increases
Solution Approach 1:
The system dynamically adjusts beacon transmission timing and frequency based on mobile device movement patterns and positioning requirements. When the device is stationary or moving slowly, transmission intervals are extended. When rapid movement is detected, transmission frequency increases to maintain positioning reliability, thus reducing delay only when necessary.
Solution Approach 2:
The system changes transmission parameters (frequency, timing, intensity) of beacon signals based on real-time conditions. By adjusting these parameters dynamically, the system maintains positioning reliability through sufficient signal availability while minimizing transmission delays by avoiding excessive or redundant signal processing.
Data Source
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AI summary
A location system comprising: a location network comprising a plurality of reference nodes and at least one controller. Each reference node is operable to transmit a respective beaconing signal from which a respective measurement can be taken by a mobile device for use in determining a location of the mobile device. The at least one controller is configured to control whether and/or how often one or more signals of the location system are transmitted to be used in determining the location of the mobile device, the control being based on feedback from at least one determination of the location of the mobile device relative to the reference nodes.