Gateway Data Prioritization for Network Congestion
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Solution Overview
Problem
The existing data acquisition systems in IoT and industrial automation networks face congestion and performance issues due to excessive data collection, leading to network overload, packet delays, and potential loss of real-time communication, which negatively impacts productivity and safety.
Innovation Solution
A data processing system with a gateway that includes a data prioritization module to optimize data collection by prioritizing data items based on network health parameters, using a FIFO/FILO data structure to dynamically adjust which data is collected, and restricting data collection when network health indicators are poor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the gateway collects comprehensive data from all devices in the network, then data completeness and monitoring capability are improved, but network congestion and packet loss increase
Solution Approach 1:
The patent segments data into different priority levels (critical, important, normal, low) and processes them differently. Critical data is collected and transmitted immediately, while lower priority data is buffered or discarded during network congestion, ensuring network reliability is maintained while still capturing essential information.
Solution Approach 2:
The patent applies different quality levels to different data items based on their importance. Critical data receives high priority processing and guaranteed transmission, while non-critical data receives lower priority handling. This local differentiation of data quality requirements resolves the contradiction by ensuring complete capture of essential data without overwhelming the network with all data equally.
2Speed
If the gateway collects data from all devices continuously, then real-time monitoring capability is improved, but network load and processing overhead increase
Solution Approach 1:
The patent implements dynamic data collection where the gateway adjusts its data acquisition rate based on network conditions and data priority. During normal conditions, continuous monitoring is maintained. During congestion, the gateway dynamically reduces collection frequency for lower priority data while maintaining critical data collection, thus preserving real-time monitoring capability for essential parameters without overwhelming the network.
Solution Approach 2:
The patent applies partial action by selectively collecting only the necessary portion of data based on priority levels. Instead of uniformly collecting all data at full rate, the gateway collects critical data continuously while collecting lower priority data at reduced rates or only when network conditions permit, achieving effective real-time monitoring with reduced overall network traffic.
3Reliability
If the gateway prioritizes critical data collection, then network reliability is improved, but data completeness for non-critical parameters deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-classifying data into priority levels before transmission. Critical data is pre-marked for immediate transmission, while non-critical data is pre-marked for buffered storage or delayed transmission. This preliminary categorization ensures that when network congestion occurs, the system can reliably transmit critical data while preserving non-critical data in buffers for later transmission when network conditions improve, maintaining both reliability and overall data completeness.
Data Source
AI summary
A device network communicates with a remote platform such as a cloud service via a gateway. A network monitor device monitors network health and may adjust the amount of data collected by the gateway, reducing the amount of data collected in case of poor network health.