Vehicle Network Message Compression for Bandwidth and Latency
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Solution Overview
Problem
Automated and autonomous vehicle systems face challenges in reducing the size of messages transmitted over communication channels, leading to bandwidth limitations and increased latency due to the large volume of data exchanged between devices, which can strain communication resources and storage requirements.
Innovation Solution
Deploying a monitoring device capable of intercepting messages using trained machine learning models to identify and replace data patterns with predefined, lossless reduced-size representations, optimizing message size by adapting to the specific operational parameters of the vehicle and communication protocols, and storing or transmitting these adjusted messages to remote networked resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If large volumes of data are transmitted over vehicle communication channels, then comprehensive monitoring and analysis capabilities are achieved, but bandwidth consumption increases and transmission latency increases
Solution Approach 1:
The patent extracts only the essential and changing data from complete messages for transmission. By identifying and removing redundant static information, the system achieves comprehensive monitoring capability while significantly reducing bandwidth consumption. Only differential data that contains actual operational changes is transmitted to remote resources.
Solution Approach 2:
The patent segments messages into static and dynamic components, transmitting only the dynamic segments that contain meaningful operational changes. This segmentation allows the system to maintain complete monitoring capabilities while reducing overall data volume and bandwidth requirements by excluding redundant static information from transmission.
2Reliability
If complete messages are transmitted without optimization, then data integrity is maintained, but transmission latency increases and storage requirements increase
Solution Approach 1:
The patent extracts only the essential differential data needed to maintain data integrity at remote resources. By removing redundant static information that doesn't contribute to operational understanding, the system reduces transmission latency while ensuring that all necessary operational changes are accurately captured and transmitted.
3Productivity
If all message data is stored locally, then complete analysis capability is available, but storage requirements increase significantly
Solution Approach 1:
The patent extracts and transmits only the essential differential data that maintains local analysis capability at remote resources. By removing redundant static information from local storage requirements and transmitting only necessary changes, the system enables complete operational analysis while significantly reducing the storage capacity needed in vehicle systems.
4Adaptability or versatility
If traditional communication protocols are used without optimization, then compatibility is maintained, but bandwidth efficiency decreases
Solution Approach 1:
The patent introduces an intermediary optimization layer that processes messages before transmission. This intermediary component applies compression and differential encoding techniques while maintaining compatibility with standard communication protocols, thereby improving bandwidth efficiency without sacrificing protocol compatibility or interoperability with existing vehicle systems.
Data Source
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AI summary
A computer implemented method of reducing a size of a message intercepted on a communication channel of a vehicle, comprising using one or more processors of a vehicular device. The processor(s) is adapted for receiving one or more of a plurality of messages intercepted by one or more devices adapted to monitor messages transmitted via one or more segments of one or more communication channels of a vehicle, applying one or more trained machine learning models to identify one or more of a plurality of data patterns in one or more of the messages, adjusting one or more of the messages by replacing each of the identified data pattern(s) with a respective predefined lossless representation having a reduced size compared to the identified data pattern and transmitting the adjusted message(s) to a remote system via one or more upload communication channels.