Edge Alert Coordinator for Mobile IoT Devices
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Solution Overview
Problem
Existing IoT solutions face challenges in edge alert coordination and data management due to high latency, increased network bandwidth demand, and mobility of devices, leading to inefficient alert triggering and evaluation, especially when devices move between edge devices.
Innovation Solution
Implementing an edge alert coordinator that broadcasts device identifiers and alert data across edge devices, ensuring seamless alert definition and state data transfer, even when devices move between edge devices, thereby preventing false positives and maintaining continuous monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transferred to the server for evaluation, then centralized control and data processing are achieved, but high latency and network bandwidth demand increase
Solution Approach 1:
The patent segments the alert evaluation function by deploying edge alert coordinators on individual edge devices. Each edge device independently evaluates alert data locally rather than centralizing all evaluation at the server, thereby reducing latency while maintaining distributed control that achieves similar reliability goals
Solution Approach 2:
The patent introduces a new dimensional approach by implementing alert coordination at the edge device layer, creating a three-tier architecture (device, edge, server) instead of the traditional two-tier (device, server) model. This intermediate edge layer enables local evaluation that reduces latency while maintaining centralized oversight
2Reliability
If all device data is transmitted to the server, then comprehensive data processing is enabled, but network bandwidth demand increases
Solution Approach 1:
The patent extracts the alert evaluation function from the server and places it at the edge device level. This extraction enables local processing of alert data without transmitting all raw device data to the server, thereby reducing network bandwidth demand while maintaining comprehensive data processing capabilities at the edge
Solution Approach 2:
The patent implements partial data transmission by sending only processed alert data and relevant events from edge devices to the server, rather than transmitting all raw device data. This partial action approach reduces network bandwidth demand while ensuring the server receives sufficient information for comprehensive oversight
3Reliability
If alert evaluation is performed at the server layer, then centralized monitoring is achieved, but computational demand at the server level increases
Solution Approach 1:
The patent segments the computational workload by distributing alert evaluation to edge alert coordinators on individual edge devices. This segmentation reduces the computational demand on the server while maintaining centralized monitoring capabilities through coordinated alert management across multiple edge devices
Solution Approach 2:
The patent introduces edge alert coordinators as intermediary components that handle local alert evaluation and coordination. These intermediaries reduce the computational burden on the server by performing preliminary evaluation locally, while still enabling centralized monitoring through coordinated alert management
4Adaptability or versatility
If devices move between edge devices, then mobility is supported, but alert coordination and data continuity become challenging
Solution Approach 1:
The patent implements feedback mechanisms where edge alert coordinators exchange alert data and coordination information when devices move between edge devices. This feedback loop ensures continuous monitoring and proper alert coordination despite device mobility, maintaining reliability while supporting adaptability
Solution Approach 2:
The patent uses data copying and inheritance mechanisms where alert data and device information are copied and transferred between edge alert coordinators when devices move. This copying approach ensures data continuity and maintains alert coordination reliability across different edge devices
Data Source
AI summary
Various examples are disclosed for edge alert coordination for mobile device alerts. An edge device can connect to a network through an edge device that monitors device data and metrics for the device. The edge device transmits a join message that includes a device identifier of the device. The edge device receives inherited device alert data. The device alert data is inherited from a previous edge device that previously monitored the device. The edge device triggers an alert using the inherited device alert data and currently monitored device data.


