Data Message Processor Rule-Based Compression
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Solution Overview
Problem
Existing data message processing mechanisms, such as those used in LPWAN networks, face challenges in optimizing data transmission efficiency due to limitations in power and bandwidth, particularly as the number of devices increases and end-device capabilities are constrained.
Innovation Solution
A method and system for processing data messages that define rules with field instruction lines, where each line includes a target value and processing instruction, allowing for compression, decompression, and security operations, including logging events or canceling transmission if no matching rule is found, to optimize data transmission and detect security conditions across multiple devices and abstraction layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is applied to reduce transmission bandwidth, then data transmission efficiency is improved, but device complexity increases due to rule matching and processing requirements
Solution Approach 1:
The data message is segmented into multiple fields, each independently processed according to matching rules. This allows selective compression of specific fields while maintaining overall message integrity, reducing total data volume without requiring complete message reprocessing.
Solution Approach 2:
The system changes parameters of data fields based on matching rules - some fields are compressed, others are transmitted as-is. This selective parameter modification optimizes transmission efficiency while managing processing complexity through rule-based automation.
2Productivity
If rule-based processing is implemented for all data fields, then data transmission optimization is improved, but processing time increases due to sequential rule evaluation
Solution Approach 1:
Matching rules are pre-configured and stored in the processing device before data transmission. This preliminary setup allows rapid rule evaluation during actual data processing, reducing processing time while maintaining comprehensive data field optimization.
3Reliability
If security operations are performed when no rule matches, then network security is improved, but device complexity increases due to additional security processing requirements
Solution Approach 1:
The system automatically performs security operations when no matching rule is found, without requiring external security system intervention. This self-service approach enhances network security while managing complexity through automated decision-making based on rule evaluation results.
Data Source
Figure 1a~1b
Figure 2
Figure 3a~3b
AI summary
A header compression context defines one or more rules, each rule comprising one or more field instruction lines, each field instruction line comprising a target value and a processing instruction; and a matching operator indicating the manner in which the content a respective specified region of a data message must correspond to the target value. Where no matching rule can be found on this basis, a security operation such as the issuing of an alert or blocking transmission or processing of the message is carried out.