Automated Emergency Notification Distribution via Location Segmentation
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Solution Overview
Problem
Existing notification systems in telecommunications networks are either all-or-nothing in their approach, manually initiated, and require users to opt-in, failing to provide automated, location-specific notifications to relevant network nodes.
Innovation Solution
A system and method for automatically initiating and distributing rich notifications to network nodes upon detection of a triggering event, which involves creating a distribution list of relevant nodes within a predetermined distance and communicating the notification to them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated location-specific notifications are implemented, then notification relevance and timeliness are improved, but system complexity increases
Solution Approach 1:
The notification system is segmented into distinct functional modules: event detection module, location identification module, distribution list creation module, and notification communication module. This segmentation allows each component to handle a specific task independently, improving overall system reliability while managing complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by pre-identifying network nodes within predetermined distances of potential event locations and pre-creating distribution lists. This preparation work is done before actual events occur, enabling rapid automated notification delivery when events are detected, thereby improving reliability without proportionally increasing operational complexity.
2Loss of time
If automated distribution list creation is implemented, then notification timeliness is improved, but processing requirements increase
Solution Approach 1:
Distribution lists are created in advance based on predetermined distance criteria from potential event locations. Network nodes are pre-identified and organized into distribution lists before events occur, allowing immediate notification delivery when events are detected without requiring real-time processing of node locations and distances.
Solution Approach 2:
The system applies different processing approaches based on location-specific needs. Distribution lists are created for specific geographic areas with predetermined distance thresholds, allowing processing resources to be focused on relevant local nodes rather than performing global calculations for every notification event.
3Loss of information
If targeted notifications to specific network nodes are sent, then alert relevance is improved, but notification system complexity increases
Solution Approach 1:
The system delivers notifications with local quality by targeting specific network nodes based on their geographic proximity to events. Each notification is customized for the relevant local area, ensuring that only nodes within predetermined distances receive alerts about events affecting their locations, thereby maximizing relevance without requiring complex individual customization for each node.
Solution Approach 2:
The notification system segments the network node population into distinct distribution lists based on geographic criteria. This segmentation allows relevant notifications to be automatically directed to appropriate segments (distribution lists) rather than requiring complex individual node evaluation, improving notification relevance while managing system complexity through group-based management.
Data Source
AI summary
Systems and methods are provided for providing network notifications of triggering events. Triggering events can be any event identified by one or more sensors that meets predetermined triggering event criteria such that a notification should be communicated via a telecommunications network. The present disclosure describes aspects where triggering events (e.g., natural disasters, mass casualty events, etc.) are detected and all user devices within a predetermined area of the triggering event are notified via the telecommunications network, leveraging network data of user device locations.


