Vehicle Data Management via Predicted Connectivity
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Solution Overview
Problem
Autonomous vehicles face challenges in timely data transmission due to uneven communication network coverage and inconsistent high-bandwidth connectivity, necessitating a method to optimize data transmission based on predicted connectivity opportunities and priority values.
Innovation Solution
An apparatus and method that assign priority values to data items and predict future connectivity opportunities, allowing for strategic transmission of data items during optimal connectivity windows, utilizing a mapping module to determine the best connectivity opportunities for transmission based on priority and bandwidth considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicles transmit all data continuously, then data completeness is improved, but network bandwidth consumption increases and transmission reliability deteriorates in areas with limited coverage
Solution Approach 1:
The system performs preliminary actions by predicting future connectivity opportunities before they occur. The server determines predicted future connectivity opportunities including time, location, and bandwidth for each vehicle, and pre-plans data transmission schedules. This allows the system to prepare data for transmission in advance during predicted connectivity windows, ensuring data completeness while avoiding transmission attempts in areas with limited coverage.
Solution Approach 2:
The system segments data transmission by dividing it into discrete connectivity opportunities with specific time and bandwidth allocations. Each connectivity opportunity is treated as a separate transmission window, and data items are assigned to specific segments based on priority and predicted bandwidth availability. This segmentation allows selective transmission of critical data during limited connectivity windows while preserving overall data completeness.
2Loss of time
If high-priority data is transmitted immediately, then response time is improved, but network bandwidth consumption increases during limited connectivity windows
Solution Approach 1:
The system changes parameters by dynamically adjusting transmission priorities and bandwidth allocation based on predicted connectivity opportunities. The server determines predicted bandwidth for each connectivity opportunity and uses this information to optimize the mix of high-priority and low-priority data transmitted during each window. This allows critical data to be transmitted with minimal delay while optimizing overall bandwidth consumption by selecting appropriate data items for each predicted connectivity window.
3Productivity
If data transmission is optimized for bandwidth efficiency, then network resource utilization is improved, but data transmission delay increases
Solution Approach 1:
The system performs preliminary actions by predicting future connectivity opportunities in advance and using these predictions to optimize transmission scheduling. The server determines predicted future connectivity opportunities including time, location, and bandwidth before transmission occurs, allowing the system to plan data transmission schedules that minimize delays for high-priority data while optimizing overall network resource utilization across all predicted windows.
Solution Approach 2:
The system uses feedback by monitoring actual connectivity conditions and comparing them with predicted opportunities. The server receives actual connectivity information and uses this feedback to refine future predictions and adjust transmission schedules. This feedback mechanism allows the system to maintain optimal balance between transmission speed and resource utilization by learning from actual performance and adapting to changing network conditions.
Data Source
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AI summary
According to an example aspect of the present invention, there is provided an apparatus configured to store information of a first set of data items stored in a first vehicle, the data items of the first set being each assigned a respective priority value, obtain, for the first vehicle, a first set of future connectivity opportunities, each future connectivity opportunity comprising a future time and a location that the future connectivity opportunity is predicted to occur at, and send instructions to a vehicle application of the first vehicle, the instructions instructing the first vehicle to transmit at least one from among the first set of data items during at least one from among the first set of future connectivity opportunities.