Event Detection Using Residual Network Content and Geo Fencing
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Solution Overview
Problem
Current network technologies fail to effectively utilize residual information after communication termination, leading to information loss or non-utilization, and lack efficient mechanisms for event detection and response in real-time scenarios.
Innovation Solution
An event detection and response system that utilizes rich network content to identify potential events, generate geographic fences, and provide critical information to authorities and users, leveraging network content from user devices and external sources to aid in event response and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If packet-switched networks store residual information after communication termination, then information is not lost or automatically discarded, but the information is not always used by the network, network devices, or user devices
Solution Approach 1:
The system performs preliminary actions by continuously monitoring network content and pre-processing residual information before events occur. The event detection system is pre-configured to analyze network content patterns, so when events happen, the system can immediately utilize stored residual information without delay, transforming passive information retention into active pre-prepared resources for event response.
Solution Approach 2:
The system implements feedback mechanisms where network content is continuously monitored and analyzed to detect events. The residual information stored in network devices is fed back into the event detection system, creating a closed-loop where past communication data actively informs current event detection and response decisions, thereby utilizing previously retained information.
2Reliability
If network devices continuously monitor and store network content for event detection, then real-time event detection capability is improved, but network resources are consumed and device complexity increases
Solution Approach 1:
The system segments the network monitoring function by deploying event detection capabilities at multiple hierarchical levels - at network devices for local event detection, at core network elements for regional analysis, and at centralized servers for comprehensive monitoring. This segmentation allows distributed event detection without requiring all network resources to be continuously monitored, reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The system applies partial monitoring by selectively analyzing network content based on predefined event criteria and thresholds rather than continuously processing all network traffic. The event detection system monitors for specific patterns and anomalies rather than everything, reducing processing overhead and resource consumption while maintaining effective event detection capability.
3Loss of information
If residual information is stored in network devices and user devices, then information availability is improved, but the information is not always effectively utilized for event response
Solution Approach 1:
The system introduces an intermediary event detection and response system that acts as a mediator between stored residual information and event response operations. This intermediary layer continuously analyzes residual information, correlates it with current network events, and triggers appropriate responses, thereby effectively utilizing stored information without requiring direct manual intervention or complex integration between all system components.
Data Source
AI summary
A server device may receive a notification indicating that an event has occurred, where the notification specifies an area associated with the event. The server device may further send a request for network content in response to the notification; receive the network content for each of a group of user devices, where the network content includes a location for each of the group of user devices and incident information for each of the group of user devices; generate geo fence information based on the area associated with the event, the geo fence information including boundaries for a geo fence that surrounds the location of the event; generate state information, associated with the geo fence, for a user device, of the group of user devices, located within the boundaries for the geo fence, where the state information includes the location for the user device; and send, to another server device, the state information for the user device.