Electronic Shelf Label Networks Using Iterative RF Self-Positioning
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Solution Overview
Problem
The deployment and positioning of electronic shelf label (ESL) devices in retail environments is labor-intensive and prone to errors, requiring manual intervention and leading to inefficiencies and environmental waste due to paper label changes.
Innovation Solution
A wireless network-based positioning system using a subset of known ESL devices to estimate the positions of unknown devices through iterative RF measurements, refining initial coarse positions with geometric dilution of precision and signal-to-noise ratio improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual deployment and positioning of ESL devices is performed, then initial positioning can be achieved, but labor intensity and positioning errors increase
Solution Approach 1:
The ESL devices automatically determine their own positions by performing RF measurements and exchanging position data with neighboring devices. Each device independently calculates its position based on received signal strength measurements from neighbors, eliminating the need for manual positioning while achieving accurate placement through self-organizing network formation.
Solution Approach 2:
The patent replaces manual mechanical positioning with automated RF-based positioning. Instead of physically placing devices at predetermined locations, the system uses radio frequency signal measurements and geometric calculations to automatically determine device positions, substituting human labor with electronic measurement and computation.
2Measurement precision
If iterative RF measurements are performed for self-positioning, then positioning accuracy improves, but communication overhead increases
Solution Approach 1:
The system performs iterative RF measurements at scheduled intervals rather than continuously. Devices exchange position data and perform measurements in periodic cycles, allowing the network to converge on accurate positions while minimizing unnecessary communication overhead through time-based scheduling of measurement activities.
Solution Approach 2:
The system performs preliminary coarse positioning using initial RF measurements, then refines positions iteratively only when necessary. By establishing initial position estimates first and then performing additional measurements only to correct significant errors, the system reduces overall communication overhead while maintaining positioning accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces manual labor and communication overhead, enabling accurate positioning of ESL devices within indoor environments with minimal user intervention and reducing environmental impact.
Implementation Method 1
The ESL devices may be equipped with Bluetooth Low Energy (BLE) radios that can be used to track the location of a BLE-enabled device
Implementation Method 2
A positioning error associated with the estimated position may be determined based on geometric dilution of precision (GDOP) values and/or an uncertainty or confidence metric associated with the positioning measurements (e.g., a signal-to-noise ratio (SNR) or other quality metric associated with the measured signals)
Data Source
AI summary
This disclosure provides systems, methods, and devices for Electronic Shelf Label (ESL) systems that support positioning of ESL devices. In a first aspect, a method includes: determining known positions of a first subset of ESL devices; receiving positioning measurements for each ESL device in a second subset of ESL devices; estimating a first position of each ESL device in the second subset based on the positioning measurements received for that ESL device and the known positions of the first subset; determining a positioning error associated with the first position of each ESL device in the second subset; and estimating a second position of each ESL device in the second subset based on the positioning error and additional positioning measurements received for that ESL device. Other aspects and features are also claimed and described.