Adaptive V2X Message Filtering for Early Relevance Screening
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Solution Overview
Problem
In vehicle-to-everything (V2X) environments, vehicles expend significant processing power on all incoming safety messages, including redundant operations on irrelevant messages, leading to inefficient CPU usage and network bandwidth consumption.
Innovation Solution
An adaptive filtering system that performs early message classification and MAC filtering to discard irrelevant messages, using a message processing unit with a MAC module, network layer module, security validation module, and application module to determine relevancy and set expiry timers for future filtering decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the host vehicle processes all incoming safety messages periodically, then complete situational awareness is achieved, but processing power demand becomes excessively high
Solution Approach 1:
The patent applies preliminary action by performing geographic location decoding and message classification before full safety processing. The system decodes geographic locations from messages, classifies them by relevance to the host vehicle, and filters out irrelevant messages early in the processing pipeline, so that only relevant messages undergo CPU-intensive security verification and complete safety processing.
Solution Approach 2:
The patent segments the message processing workflow into distinct stages: initial geographic location decoding, message classification by relevance, security signature verification for relevant messages only, and final safety processing. This segmentation allows the system to handle messages differently based on their relevance, processing only relevant messages through the complete pipeline while discarding irrelevant ones early.
2Loss of information
If the host vehicle processes all received messages, then no relevant information is missed, but network bandwidth utilization increases due to redundant transmission and processing
Solution Approach 1:
The system performs preliminary geographic location decoding and relevance classification on incoming messages before they are fully processed or transmitted through the complete safety processing pipeline. By classifying messages based on their geographic relevance to the host vehicle early in the flow, the system avoids redundant processing and transmission of irrelevant messages, reducing network bandwidth utilization while maintaining information completeness for relevant messages.
3Reliability
If security signature verification is performed on all messages, then message authenticity is ensured, but CPU intensive processing consumes excessive power
Solution Approach 1:
The patent performs preliminary geographic location decoding and message classification before security signature verification. By determining message relevance based on geographic information early in the processing flow, the system identifies and filters out irrelevant messages before they reach the CPU-intensive security verification stage, ensuring that authentic signature verification is performed only on messages that are both relevant and potentially threatening.
Solution Approach 2:
The processing pipeline is segmented so that lightweight geographic decoding and classification operations are separated from the CPU-intensive security signature verification. This segmentation allows the system to use minimal processing resources for initial filtering, reserving CPU-intensive operations only for relevant messages that require authenticity verification.
4Measurement precision
If all messages are forwarded for complete processing, then processing accuracy is maintained, but processing time increases due to handling irrelevant messages
Solution Approach 1:
The patent performs preliminary geographic location decoding and relevance classification before complete safety processing. By identifying and filtering out irrelevant messages based on their geographic relationship to the host vehicle early in the processing flow, the system reduces the number of messages that require complete processing, thereby maintaining processing accuracy for relevant messages while significantly reducing overall processing time.
Data Source
AI summary
An electronic system and method of identifying and discarding messages from irrelevant targets at an early stage of a message processing flow to reduce messages for further transmitting and processing. The system is configured to receive, by a first vehicle computing device at a first geographic location, a message from a second vehicle computing device, decode a portion of the message to determine a second geographic location of the second vehicle computing device, identify a type of safety application applied by the first vehicle computing device, classify the message based at least in part on the type of the safety application, the first geographic location, and the second geographic location, and determine, based on classifying the message, whether to discard the message or forward the message for processing to the safety application. The system is further configured to filter the message based on a filter table.