Wireless Access Point RSSI Zones for Faster Proximity Monitoring
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Solution Overview
Problem
Existing methods for monitoring wireless device entry and exit in indoor environments are computationally intensive and time-consuming, particularly when setting up location-based proximity zones, which is not feasible with GPS.
Innovation Solution
A network management system (NMS) generates and monitors RSSI-based proximity zones using a user interface, allowing users to define zones based on received signal strength indicator (RSSI) threshold values, reducing the need for manual boundary drawing and enabling faster event triggering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location-based proximity zones are used to monitor wireless device entry and exit, then monitoring accuracy is improved, but setup time and computational complexity increase significantly
Solution Approach 1:
The patent changes the fundamental parameter for proximity zone definition from physical location coordinates to RSSI signal strength thresholds. Instead of manually drawing geographic boundaries, the system uses wireless signal strength measurements to dynamically define proximity zones, dramatically reducing setup time while maintaining monitoring capability
Solution Approach 2:
The patent replaces the manual mechanical process of drawing proximity zone boundaries on maps with an automated signal-based system. The NMS automatically establishes proximity zones by monitoring RSSI values from access points, eliminating the time-consuming manual configuration process
2Measurement precision
If location-based proximity zones are used, then precise geographic monitoring is achieved, but data processing complexity and time increase
Solution Approach 1:
The patent transforms the monitoring parameter from complex geographic coordinate calculations to simple RSSI threshold comparisons. By defining proximity zones based on signal strength levels rather than geographic boundaries, the system reduces computational complexity while maintaining the ability to detect device entry and exit events
Solution Approach 2:
Instead of determining device location and then checking if it falls within a proximity zone, the patent inverts the approach by monitoring signal strength and determining proximity status directly from RSSI values. This reversal simplifies the computational process by eliminating complex location calculations
3Manufacturing precision
If manual boundary drawing is required for proximity zones, then precise zone definition is possible, but ease of operation deteriorates
Solution Approach 1:
The patent enables the system to automatically configure proximity zones without requiring manual user input for boundary definition. The NMS uses existing wireless signal data from access points to automatically establish proximity zones, making the system self-configuring and dramatically improving ease of operation
Solution Approach 2:
The patent creates a universal proximity zone definition method that works across different environments without requiring custom boundary drawing for each location. The RSSI-based approach provides a standardized, environment-agnostic method for defining proximity zones that simplifies operation across diverse deployments
4Productivity
If RSSI-based proximity zones are used, then setup speed and response time are improved, but measurement precision may be reduced
Solution Approach 1:
The patent implements dynamic proximity zone definition where RSSI thresholds can be adjusted based on environmental conditions and application requirements. The system adapts to different scenarios by modifying signal strength parameters, maintaining both speed and acceptable precision across varying contexts
Solution Approach 2:
The system uses feedback from RSSI measurements to continuously monitor and detect device proximity events. By establishing baseline signal levels and comparing real-time measurements against these baselines, the system maintains detection accuracy while benefiting from the rapid setup and response characteristics of signal-based monitoring
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
RSSI-based proximity zones facilitate quicker setup and adjustment of zone sizes, processing less data for faster response times and event generation compared to location-based methods.
Implementation Method 1
wireless access point (AP) devices configured to provide one or more wireless networks
Implementation Method 2
establish a proximity zone for each of the selected AP devices based on a received signal strength indicator (RSSI) threshold value
Data Source
AI summary
Techniques are described by which a network management system (NMS) is configured to generate and monitor an RSSI-based proximity zone for a wireless network using a user interface (UI). The NMS may generate a UI comprising UI elements representing access point (AP) devices configured to provide a wireless network at a site; receive, at the user interface, an indication of a user input selecting one or more UI elements representing selected AP devices; establish a proximity zone for each of the selected AP devices based on an RSSI threshold value; receive network data comprising proximity information of a client device relative to the selected AP devices; generate, based on proximity assessments using the proximity information and the RSSI threshold value of the proximity zone, one or more proximity events indicating the client device relation to the proximity zone; and invoke, based on the proximity events, one or more actions.