C2X Data Reception Sorting by Relevance Classes
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Solution Overview
Problem
In vehicle-to-environment (C2X) communication systems, the large amount of data exchanged can lead to bandwidth exhaustion, causing time delays and network breakdowns, especially in safety-critical situations, due to the need for quick data processing and the inability of all control units to handle all data, with safety-relevant data requiring low failure probability processing.
Innovation Solution
Sorting received data into relevance classes and distributing preprocessing across different control units based on class, allowing for prioritization and validation, with high-priority data processed immediately and safety-critical data handled by appropriate units, reducing unnecessary data processing and enhancing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all received data is processed through the complete communication stack in all control units, then data processing completeness is improved, but processing time increases and bandwidth is exhausted
Solution Approach 1:
The communication stack processing is segmented and distributed across multiple control units based on data relevance. High-relevance data is processed by safety-critical control units with simplified stacks, while low-relevance data is processed by non-safety-critical control units with complete stacks, preventing bandwidth exhaustion and reducing processing time
Solution Approach 2:
Data relevance is determined in advance before complete processing. The receiving control unit pre-assesses data relevance based on collision risk, distance, and object type, allowing subsequent control units to selectively process only necessary data through appropriate communication stack depths
2Loss of information
If data from all objects is processed equally, then comprehensive situation awareness is improved, but resource consumption increases unnecessarily
Solution Approach 1:
Different processing quality is applied to different data based on local relevance characteristics. Safety-critical data from high-risk objects receives full processing attention with complete communication stack validation, while non-critical data receives minimal processing, optimizing resource consumption while maintaining comprehensive situation awareness
Solution Approach 2:
The processing depth parameter of the communication stack is dynamically changed based on data relevance. Relevance parameters such as collision risk, distance, and object type determine the processing level, allowing the system to adapt resource consumption to actual situational needs
3Productivity
If collision detection is performed before communication for all vehicles, then communication efficiency is improved, but system complexity increases
Solution Approach 1:
The receiving control unit performs multiple functions including initial collision risk assessment, data relevance determination, and selective forwarding to different control units. This multi-functionality improves communication efficiency without requiring separate dedicated collision detection systems, thereby avoiding increased system complexity
Data Source
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AI summary
Described are a method and a communication system (1) for receiving data in wireless vehicle-to-surroundings (C2X) communication in a communication system (1) of a vehicle (F). In said method and communication system (1), which includes multiple control devices (2, 3, 4, 18), a receiving control device (2) receives data from objects (O) located in the surroundings of the vehicle (F), and a communication stack is processed during reception. In order for the data to be expediently and effectively acquired, the received data is sorted into at least two classes of relevance and is further processed in the communication stack according to the class of relevance.