Wireless Tracking Node Using Signal Strength Thresholds
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Solution Overview
Problem
Existing tracking systems face limitations in geographical coverage and accuracy, especially in indoor and outdoor environments with obstacles, and consume excessive power, particularly for mobile devices with limited battery capacity.
Innovation Solution
A node and device system utilizing wireless communication in the 300-1000 MHz frequency range for tracking, where the node calculates distances based on signal strength thresholds to determine geographic areas, allowing for dual power mode positioning and alerting the device when it exceeds a predetermined distance, thereby enhancing coverage and battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or similar satellite-based systems are used for tracking, then positioning accuracy is improved, but power consumption increases and coverage is limited in indoor environments
Solution Approach 1:
The system segments the tracking functionality into two parts: a low-power distance measurement mode using signal strength thresholds for routine monitoring, and a high-accuracy positioning mode using GPS or similar systems only when needed. This segmentation allows the device to maintain acceptable tracking performance while minimizing power consumption by avoiding continuous use of power-intensive positioning systems.
Solution Approach 2:
The system applies partial action by using signal strength-based distance estimation instead of full-accuracy GPS positioning for routine tracking. This partial measurement approach provides sufficient information for most tracking scenarios without the excessive power consumption of continuous GPS operation, reserving full positioning capability for critical moments.
2Speed
If high-frequency communication (e.g., WiFi 2.4 GHz or 5 GHz) is used for data transfer, then data transmission speed is improved, but coverage area decreases due to poor penetration through obstacles
Solution Approach 1:
The system changes the frequency parameter of wireless communication from conventional high-frequency bands (2.4 GHz or 5 GHz) to a lower frequency range (300-1000 MHz). This parameter change improves coverage area and penetration through building structures and obstacles, making the system suitable for both indoor and outdoor environments, though it may reduce data transfer speed.
3Measurement precision
If continuous positioning mode is used to maintain accurate tracking, then measurement precision is improved, but device battery life decreases
Solution Approach 1:
The system implements periodic action by using signal strength-based distance measurements at regular intervals instead of continuous GPS positioning. The node periodically requests distance information from the device, and the device responds with position data based on signal strength. This periodic approach maintains acceptable tracking accuracy while significantly reducing power consumption compared to continuous positioning modes.
Solution Approach 2:
The system uses partial measurement action by relying on signal strength thresholds for distance estimation rather than continuous full-accuracy positioning. This provides sufficient tracking information for most applications without the excessive power consumption of continuous high-precision positioning, extending battery life while maintaining functional tracking capability.
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
The system provides enhanced geographical coverage and extended battery life by using low-frequency communication for tracking, allowing devices to remain in sleep mode except for position requests, and activating higher power positioning only when necessary for accurate location determination.
Implementation Method 1
calculating the distance to the device... determine a first maximum distance between the node and the device based on a predetermined signal strength threshold for distance calculations
Data Source
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AI summary
The solution relates to a node, device and method arranged and adapted for tracking a device. The node is adapted to communicate through wireless communication in a frequency range between 300 and 1000 MHz and configured to transmit a position request to the device, receive a position response from the device, and calculate the distance to the device. The node is configured to determine a first maximum distance between the node and the device based on a predetermined signal strength threshold for distance calculations and transmit an alert to the device if the distance between the node and the device exceeds the first maximum distance.