IoT Emergency Message Routing via PSTN Call Adjustment
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Solution Overview
Problem
IoT devices often struggle to efficiently route emergency messages to the nearest Public-Safety Answering Points (PSAPs), leading to increased response times and potential harm due to distant routing of emergency calls through legacy PSAPs connected via the Public Switched Telephone Network (PSTN).
Innovation Solution
A system comprising an IoT server and a phone call server that adjusts call routing records to associate a caller ID with the location of the IoT device, initiating emergency calls through the PSTN to the nearest PSAP, while optionally using machine learning models to verify message genuineness and enrich messages with event attributes and additional data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emergency messages from IoT devices are routed through legacy PSAPs connected via PSTN, then the system maintains compatibility with existing emergency infrastructure, but the routing efficiency deteriorates and response time increases due to distant routing
Solution Approach 1:
The patent introduces an intermediary component (emergency messaging system/server) that sits between IoT devices and PSAPs. This intermediary receives emergency messages from IoT devices, determines the appropriate nearby PSAP using location data, and initiates targeted emergency calls through the PSTN. This mediator resolves the contradiction by enabling efficient local routing while maintaining compatibility with legacy PSTN-based PSAP infrastructure.
Solution Approach 2:
The system performs preliminary actions by pre-configuring call routing records that associate caller IDs with geographic locations before emergencies occur. When an emergency message is received, the system has already established the routing information needed to quickly direct the call to the nearest PSAP, reducing response time while maintaining infrastructure compatibility.
2Reliability
If the system uses machine learning models to verify message genuineness, then false positives are reduced, but system complexity increases
Solution Approach 1:
The patent introduces a dedicated message forwarding engine as an intermediary component that handles machine learning-based verification. This separate module receives emergency messages, applies ML models to assess genuineness, and forwards verified messages to the routing system. By isolating the complex ML verification function in a dedicated intermediary component, the system achieves high reliability in message verification while managing complexity through modular architecture.
Data Source
AI summary
A system for routing emergency events reported by IoT devices to nearby Public Safety Answering Points (PSAPs), comprising an IoT server and a phone call server. The IoT server configured to receive emergency messages from IoT devices associated with users and distributed in a plurality of geographical regions and transmit the emergency messages indicative of emergency events relating to the associated users and comprise at least a location of the IoT devices to the phone call server which is configured to adjust call routing record(s) used by the PSTN to associate certain caller IDs with the location of the IoT devices, and initiate emergency call(s) to the PSTN using the certain caller IDs. The PSTN forwards emergency calls to PSAPs located in geographical regions nearest to the IoT devices determined based on between the location of the IoT devices and the certain caller IDs in the adjusted call routing record(s).