Adaptive RFID Tag Transmission Interval for Search Accuracy
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Solution Overview
Problem
The existing RFID tag search systems face challenges in maintaining search performance for distant tags, managing battery energy consumption, and reducing collision probabilities due to varying transmission intervals, without implementing complex synchronization and power control features.
Innovation Solution
A method and device that adjust the transmission interval of RFID tags based on detected beacon signals, using a user terminal to determine optimal transmission periods based on the number of tags and signal strength, allowing for adaptive beacon signal transmission to enhance search accuracy and reduce collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the transmission interval of RFID tags is reduced to improve search accuracy and maintain performance for distant tags, then search performance is improved, but battery energy consumption increases and collision probability increases
Solution Approach 1:
The system dynamically adjusts the transmission interval of RFID tags based on real-time conditions. The base station determines optimal transmission intervals and communicates them to tags, allowing the interval to vary from fixed to adaptive. This resolves the contradiction by making the transmission interval flexible rather than static, optimizing both search accuracy and energy consumption under different conditions.
Solution Approach 2:
The invention changes the transmission interval parameter from a fixed value to a dynamically determined value based on system conditions. The base station monitors tag responses and adjusts the transmission interval parameter accordingly, changing it to balance search performance requirements with energy conservation and collision avoidance.
2Measurement precision
If the transmission interval of RFID tags is reduced to improve search accuracy, then search performance is improved, but collision probability increases due to simultaneous transmissions
Solution Approach 1:
The system implements feedback mechanisms where the base station monitors tag transmission responses and uses this information to adjust transmission intervals. When collisions are detected or anticipated, the base station modifies the interval to reduce collision probability while maintaining search accuracy. This feedback loop resolves the contradiction by adapting the interval based on actual system behavior.
Solution Approach 2:
The transmission interval transitions from a static parameter to a dynamic one that adjusts based on collision detection and system load. The base station dynamically determines optimal intervals and communicates them to tags, allowing the system to maintain high search accuracy while adapting to conditions that minimize collisions.
3Use of energy by moving object
If the transmission interval of RFID tags is increased to reduce battery energy consumption, then energy efficiency is improved, but search performance degrades for distant tags
Solution Approach 1:
The system applies different transmission intervals to different RFID tags based on their specific conditions and locations. Tags that are distant or require higher search accuracy are assigned shorter intervals, while tags in optimal conditions use longer intervals for energy conservation. This local differentiation resolves the contradiction by tailoring the interval to each tag's needs rather than applying a uniform setting.
Solution Approach 2:
The transmission interval becomes a dynamic parameter that adjusts based on tag-specific conditions such as distance from the base station, signal strength, and search requirements. This dynamic adjustment allows the system to optimize energy consumption for each tag while maintaining adequate search performance, resolving the contradiction through individualized adaptation.
4Reliability
If the transmission interval of RFID tags is increased to reduce collision probability, then collision reduction is achieved, but search accuracy degrades
Solution Approach 1:
The system dynamically adjusts transmission intervals based on real-time collision detection and system conditions. When collision probability is high, intervals are extended to reduce collisions; when search accuracy requirements increase, intervals are shortened. This dynamic balancing resolves the contradiction by adapting the interval to current system needs rather than using a fixed value.
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
This approach improves search performance for distant RFID tags by increasing transmission frequency, conserves battery energy, and reduces collision probabilities without requiring complex synchronization or power control functions, thus maintaining efficient and accurate tag location tracking.
Implementation Method 1
each of the one or more wireless devices periodically transmits a beacon signal
Data Source
AI summary
A method to be executed by a user terminal for searching for locations of one or more wireless devices that are located within an area in which the one or more wireless devices can wirelessly communicate with the user terminal, wherein each of the one or more wireless devices periodically transmits a beacon signal. The method includes detecting a number of the one or more wireless devices that are located within the area based on the beacon signals; determining a transmission period for transmitting the beacon signals depending on the number of the one or more wireless devices; and instructing the one or more wireless devices that are located within the area to transmit the beacon signals in accordance with the determined transmission period.