Vehicle Wi-Fi Access Point Selection by Predicted Transit Time
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Solution Overview
Problem
Existing wireless communication systems for vehicles face issues with connection failures and throughput reduction due to concentration of connections on the same access point, and fail to consider transit time within the communication range, leading to wasteful communication when the connection is cut off before completion.
Innovation Solution
A wireless communication control device and method that identifies a predicted travel route, acquires access point information and estimation information, estimates transit time, and determines a connection destination with a threshold to ensure sufficient transit time for stable communication, thereby reducing wasteful communication and preventing concentration on a single access point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If access points are selected at random for connection, then connection setup is simple and fast, but connection stability deteriorates as the vehicle moves away from the access point
Solution Approach 1:
The system performs preliminary actions by identifying the predicted travel route in advance, acquiring access point information along that route, and estimating transit times before the vehicle actually needs to connect. This allows the system to pre-determine optimal access points rather than making random connections, thereby maintaining both ease of operation and connection stability.
Solution Approach 2:
The system dynamically adapts access point selection based on the vehicle's predicted movement along its travel route. By considering the transit time through each access point's communication range and comparing it to a threshold, the system dynamically chooses access points that will maintain stable connections throughout the vehicle's movement, rather than using static or random selection methods.
2Reliability
If access points with longer transit times are selected, then connection stability is improved, but communication latency increases
Solution Approach 1:
The system changes the selection parameter from simple proximity or random choice to transit time through communication range. By estimating how long the vehicle will remain within each access point's communication range along the predicted route and comparing this transit time to a threshold, the system selects access points that optimize the balance between connection stability and communication efficiency, avoiding both premature disconnections and unnecessarily long delays.
3Productivity
If multiple vehicles connect to the same access point, then network infrastructure utilization is improved, but connection reliability deteriorates due to connection concentration
Solution Approach 1:
The system segments the network selection process by considering each vehicle's unique predicted travel route and identifying different access points along that route. This segmentation approach naturally distributes vehicles across multiple access points based on their individual routes, preventing connection concentration while maintaining efficient network utilization, as each vehicle connects to access points optimized for its specific path.
Data Source
AI summary
By a wireless communication control device, a wireless communication device, a wireless communication control method, a predicted travel route of a vehicle is identified, access point information for identifying a position of an access point and a communication range is acquired. estimation information for estimating a transit time in a section on the identified travel route is acquired, a transit time required for the vehicle to pass through a communication range of the access point connectable to the wireless communication device on the identified travel route is estimated, and the access point causing the estimated transit time to be equal to or higher than a threshold is determined.