Dynamic Filter Parameter Adaptation for Vehicle-to-X Message Processing
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Solution Overview
Problem
Current vehicle-to-X communication systems face inefficiencies due to high volumes of received data, where only a few messages are relevant, leading to unnecessary computational load, especially during the transition from minimal to widespread adoption, where preprocessing becomes necessary to adapt to changing message rates and computational power.
Innovation Solution
A method for dynamically adapting filter parameters for vehicle-to-X messages based on a correction value derived from the deviation between processed and intended messages within a specified duration, allowing for optimal resource utilization and efficient filtering, even with less powerful computing modules, without the need for intermediate storage or complex calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If preprocessing is implemented to filter vehicle-to-X messages, then computational load is reduced and system performance is maintained, but device complexity and filter parameter adaptation complexity increase
Solution Approach 1:
The filter parameter is dynamically adapted based on the deviation between actual and target processed message counts. The system transitions from static filtering thresholds to dynamic adjustment, where the filter parameter changes in response to real-time computational load conditions, resolving the contradiction between maintaining performance and managing complexity
Solution Approach 2:
The system implements feedback control by calculating the deviation between the number of messages actually processed and the target number, then using this deviation to adjust the filter parameter. This closed-loop approach automatically balances filtering effectiveness with computational resource utilization without requiring complex manual configuration
2Loss of information
If more vehicle-to-X messages are processed, then application relevance and data completeness improve, but computational load increases beyond system capacity
Solution Approach 1:
The system changes the filter parameter dynamically based on computational capacity and message characteristics. By adjusting this parameter according to the deviation from target processing volume, the system optimizes the balance between processing relevant messages and maintaining feasible computational load, preventing both information loss and power overload
Solution Approach 2:
The filtering system transitions from static to dynamic operation, where the filter parameter adapts in real-time based on the ratio of processed to target messages. This dynamic adjustment ensures that the system processes as many relevant messages as possible within available computational constraints
3Productivity
If computational power is increased to process all messages, then message processing completeness improves, but system cost and energy consumption increase
Solution Approach 1:
The system implements partial processing by filtering messages based on dynamic parameters rather than processing all received messages. This approach processes sufficient messages to meet application needs while avoiding the excessive energy consumption that would result from processing every message, achieving optimal productivity-energy balance
Solution Approach 2:
By dynamically adjusting the filter parameter based on deviation from target processing volume, the system optimizes processing capacity utilization. This prevents both under-processing (losing relevant information) and over-processing (wasting energy), maintaining efficient productivity relative to energy consumption
Data Source
AI summary
A method for filtering vehicle-to-X messages, having the following steps: receiving a number of vehicle-to-X messages and adapting a filter parameter for filtering the received vehicle-to-X messages in such a manner that a number of vehicle-to-X messages to be discarded leaves a number of vehicle-to-X messages to be processed from the number of received vehicle-to-X messages. The adaptation is carried out on the basis of a correction value for describing a deviation of the number of vehicle-to-X messages to be processed in a specified duration from a number of vehicle-to-X messages provided for processing in the specified duration. Also disclosed are a corresponding vehicle-to-X communication device and to a computer-readable storage medium.