V2V Data Package Selection for Reduced Computational Complexity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data selection methods for vehicle-to-vehicle (V2V) communication systems are insufficient and inflexible, leading to computational complexity and bandwidth requirements that exceed the capabilities of host devices, particularly due to computational and bandwidth limitations.
Innovation Solution
A method for selecting data packages received by a host device, which involves calculating prioritized data package parameters, optionally determining priority ranks, sorting data packages based on these parameters or ranks, down-selecting a subset of data packages, and processing them. This method reduces computational complexity and bandwidth requirements, allowing for flexible adaptation to different application cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all received V2V data packages are processed, then complete information is available, but computational complexity and bandwidth requirements exceed device capabilities
Solution Approach 1:
The patent extracts only the most relevant data packages from the complete set of received V2V messages. By applying selection criteria based on distance, relative velocity, and message type, the system extracts a subset of data packages that provide sufficient information for driver assistance functions without processing all available data, thus reducing computational complexity while maintaining reliability.
Solution Approach 2:
The patent segments the data package selection process into multiple independent criteria: distance-based filtering, velocity-based filtering, and message type-based filtering. Each criterion independently evaluates data packages and contributes to the overall selection decision, allowing the system to manage complexity through modular, segmented processing steps rather than handling all data uniformly.
2Reliability
If all received V2V data packages are transmitted, then complete data is available, but bandwidth requirements exceed transmission capabilities
Solution Approach 1:
The patent extracts a representative subset of data packages for transmission based on predefined selection criteria. By selecting only data packages that meet specific distance, velocity, and message type thresholds, the system reduces the quantity of transmitted data while ensuring that the most critical information is preserved, thus meeting bandwidth constraints without sacrificing data availability.
Solution Approach 2:
The patent applies partial action by transmitting only a portion of the received data packages rather than all of them. The selection criteria ensure that the transmitted subset contains sufficient information for safe operation, implementing partial transmission that balances bandwidth limitations with the need for reliable data availability.
3Productivity
If simple selection criteria are used, then processing is faster, but flexibility for different application cases is reduced
Solution Approach 1:
The patent implements dynamic selection criteria that can be adjusted based on the specific application case and driving conditions. The system allows modification of distance thresholds, velocity thresholds, and message type priorities according to different driver assistance functions and traffic scenarios, providing flexibility while maintaining efficient processing through structured, parameterizable criteria.
Solution Approach 2:
The patent enables flexibility by allowing changes to selection parameters such as distance thresholds, velocity thresholds, and message type weights. These parameters can be modified to adapt to different application requirements without changing the fundamental selection mechanism, thus maintaining processing speed while achieving adaptability across various use cases.
Data Source
AI summary
Selecting data packages received by a host device is provided. The host device receives a number of N data packages. For each data package of the N data packages: a prioritized data package parameter is calculated. The data packages are sorted according to a predetermined sorting-scheme considering at least prioritized data package parameters. A number of M data packages are down-selected from the N data packages, wherein M<N. The one or more of the down-selected M data packages are processed. Accordingly, hardware and software requirements of the host device may be reduced due to a reduced computational complexity.