Inter-Vehicle Congestion Control via Dynamic Time Frame Adjustment
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Solution Overview
Problem
Inter-vehicle communication systems face network congestion and reliability issues due to high channel load and data transmission delays caused by excessive competition among vehicles, especially in dense traffic areas, where existing CSMA/CA technology fails to manage transmission power, data rate, and transmission period effectively.
Innovation Solution
A congestion control device and method that dynamically adjust the time frame settings based on surrounding communication conditions, including average driving speed and number of surrounding vehicles, to optimize data transmission rates and power usage, ensuring efficient use of wireless resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If CSMA/CA based wireless communication is used for periodic broadcasting of driving information, then communication simplicity is maintained, but network congestion occurs with high channel load and transmission delay in dense traffic areas
Solution Approach 1:
The patent applies dynamics by making the time frame period variable rather than fixed. The congestion control device dynamically adjusts the time frame period based on real-time channel load measurements and vehicle density conditions. When channel load is high or vehicle density is large, the time frame period is extended to reduce transmission frequency and avoid congestion. When channel load is low and vehicle density is small, the time frame period is reduced to improve communication efficiency. This dynamic adaptation resolves the contradiction between maintaining simple communication and avoiding network congestion.
Solution Approach 2:
The patent changes the time frame period parameter based on communication conditions. The congestion control device measures channel load and vehicle density, then adjusts the time frame period accordingly. This parameter change allows the system to adapt to varying traffic conditions, reducing transmission frequency during congested periods and increasing it during clear conditions, thereby resolving the network congestion problem while maintaining communication simplicity.
2Reliability
If transmission frequency is increased to improve real-time monitoring, then data reception ratio improves, but channel access delay increases and congestion worsens
Solution Approach 1:
The system dynamically adjusts the time frame period based on real-time conditions. When vehicle density is low and channel load is light, the time frame period is shortened to increase transmission frequency and improve data reception ratio. When vehicle density is high or channel load is heavy, the time frame period is lengthened to reduce transmission frequency and minimize channel access delay. This dynamic adjustment allows the system to optimize between data reception and delay based on actual traffic conditions.
Solution Approach 2:
The congestion control device continuously measures channel load and vehicle density, then uses this feedback information to adjust the time frame period. The system receives feedback about communication conditions and adapts the transmission frequency accordingly. This feedback mechanism ensures that the time frame period is optimized based on real-time channel state, resolving the contradiction between improving data reception ratio and reducing channel access delay.
3Device complexity
If fixed time frame settings are used, then device complexity is reduced, but adaptability to changing vehicle densities and speeds is insufficient
Solution Approach 1:
The patent transitions from fixed to dynamic time frame settings. The congestion control device continuously monitors vehicle density and channel load, then automatically adjusts the time frame period without requiring complex manual configuration. The system uses simple measurement and comparison logic to adapt the time frame period to current conditions, maintaining relatively simple device complexity while achieving high adaptability to changing vehicle densities and speeds through automated dynamic adjustment.
Data Source
AI summary
The present invention relates to a vehicle communication system and method used when transmitting and receiving driving information of a vehicle to and from surrounding vehicles. According to the present invention, a host vehicle may transmit and receive driving information to and from its surrounding vehicles to find out information about a position, a speed, a driving direction, etc., thereby decreasing traffic accident risk. However, transmission and reception of the driving information may not be smoothly performed depending on surrounding communication conditions. The present invention provides a communication congestion control device and method for smoothly performing data transmission and reception between vehicles depending on surrounding conditions, by setting a time frame variably depending on surrounding communication conditions and transmitting data on the basis of the changed time frame.