Cloud-UE Collaborative Data Processing for Public Safety
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Solution Overview
Problem
There is a technological challenge in determining which devices in a communication system should perform data processing and analysis, particularly in public safety communication systems where devices may not be aware of tasks assigned to other officers or data gathered by other devices.
Innovation Solution
The method involves using context information about a public safety incident to determine whether data processing should occur at a User Equipment (UE) device or a Cloud-Based Electronic Computing (CEC) device. This context information is received from various sources and helps prioritize data processing tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data processing is performed at the UE device, then processing speed and real-time response are improved, but battery consumption and device complexity increase
Solution Approach 1:
The patent segments the data processing function into two parts: initial processing at the UE device for immediate response, and secondary processing at the cloud device for comprehensive analysis. This segmentation allows the system to achieve both fast local response and energy-efficient cloud processing, resolving the contradiction between processing speed and battery consumption.
2Productivity
If data processing is performed at the UE device, then real-time analysis capability is improved, but device complexity and computational load increase
Solution Approach 1:
The patent introduces the cloud device as an intermediary that handles complex data processing tasks. The UE device communicates with the cloud device, which performs comprehensive data analysis and returns results. This intermediary approach enables real-time analysis capability without significantly increasing the complexity of individual UE devices.
3Power
If data processing is performed at the cloud device, then computational power and processing capability are improved, but response time and network dependency increase
Solution Approach 1:
The patent applies preliminary action by having the UE device perform initial data processing and filtering before transmitting data to the cloud device. This preliminary processing at the edge reduces the amount of data that needs to be transmitted and processed centrally, thereby reducing response time while still utilizing the cloud's computational power for comprehensive analysis.
Data Source
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AI summary
One example cloud-based electronic computing device (120) includes and electronic processor (405) and communicates over a wireless communication network with a User Equipment (UE) device (105). The electronic processor (405) receives public safety incident information about a public safety incident from a public safety command center (125). The electronic processor (405) receives metadata representing first gathered data from a location of the public safety incident from the UE device (105). The electronic processor (405) may determine, based on the public safety incident information and the metadata, whether to process the first gathered data by a first UE device (105) at the location of the public safety incident or by the electronic processor (405) of the cloud-based electronic computing device (120).