Geofence-Based QoS Control for Hazard Path Prediction
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Solution Overview
Problem
During hazard incidents, heavy wireless communication traffic can cause wireless traffic congestion, leading to communication device disconnections or poor connectivity, which may endanger individuals operating these devices, especially in environments like buildings with fire hazards where communication infrastructure is compromised.
Innovation Solution
A computing device determines the initial location of a hazard, predicts the hazard path, sets up geofences with varying weights based on their inclusion or exclusion of the hazard path, and controls network quality of service for communication devices, ensuring better connectivity for devices within geofences that include the hazard path to prioritize communication for those in danger.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If network traffic is increased to support more communication devices during hazard incidents, then communication coverage is improved, but network congestion worsens causing disconnections and poor connectivity
Solution Approach 1:
The patent implements differential quality of service by creating geofences along predicted hazard paths and assigning higher priority weights to devices within these zones. This local quality approach ensures that communication resources are allocated differently based on spatial location and hazard risk, providing enhanced reliability specifically to devices in critical areas while maintaining overall network capacity.
2Device complexity
If uniform network quality of service is provided to all communication devices, then network simplicity is maintained, but safety of individuals in hazard paths is compromised due to connectivity loss
Solution Approach 1:
The system performs preliminary actions by predicting hazard paths in advance and pre-establishing geofences with assigned priority weights before hazards occur. This allows the network to be pre-configured to provide enhanced quality of service to devices that may enter high-risk zones, ensuring safety-critical connectivity without requiring complex real-time adjustments during emergencies.
Solution Approach 2:
The patent implements differential quality of service by creating geofences along predicted hazard paths and assigning higher priority weights to devices within these zones. This local quality approach ensures that communication resources are allocated differently based on spatial location and hazard risk, providing enhanced reliability specifically to devices in critical areas while maintaining overall network capacity.
3Reliability
If network resources are allocated to prioritize devices in predicted hazard paths, then connectivity reliability for at-risk devices is improved, but network resource distribution becomes uneven creating complexity
Solution Approach 1:
The system performs preliminary actions by predicting hazard paths in advance and pre-establishing geofences with assigned priority weights before hazards occur. This allows the network to be pre-configured to provide enhanced quality of service to devices that may enter high-risk zones, ensuring safety-critical connectivity without requiring complex real-time adjustments during emergencies.
Solution Approach 2:
The patent changes the quality of service parameter (priority weight) based on the spatial parameter (geofence location relative to hazard path). By linking connectivity reliability to geographic location through geofencing, the system automatically adjusts resource allocation parameters without requiring complex manual intervention, resolving the contradiction between improved reliability and reduced complexity.
Data Source
AI summary
A device, system and method for controlling quality of service of communication devices based on a predicted hazard path is provided. From an initial location of a hazard in a building and an electronic representation of the building, a predicted hazard path through the building is determined, as well as geofences, each associated with a respective weight. Geofences that include the predicted hazard path have a higher weight than geofences that exclude the predicted hazard path. Respective network quality of service for communication devices is controlled based on their locations in the building, relative to the geofences, such that a first communication device located in a first geofence that includes the predicted hazard path receives better network quality of service than a second communication device located in a second geofence that excludes the predicted hazard path, the second geofence having a lower weight than the first geofence.


