Dynamic Computing Resource Allocation for Internet of Vehicles Data Transmission
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Solution Overview
Problem
In Internet of Vehicles (IOV) systems, the existing fixed resource allocation mode is inefficient and resource-consuming due to the low probability of worst-case signal quality scenarios, leading to increased burden on servers as vehicles travel through areas with varying communication connection quality.
Innovation Solution
A data transmission method and apparatus that predict a vehicle's future location and communication connection quality, allowing for dynamic adjustment of computing resources such as buffer space, data uploading frequency, and compression parameters based on anticipated changes in signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed computing resources are allocated for each vehicle to handle worst-case signal quality, then data transmission reliability is improved, but server resource consumption increases
Solution Approach 1:
The patent implements dynamic resource allocation by continuously monitoring vehicle location and predicting future signal quality based on historical data. The server adjusts computing resources (buffer size, processing frequency, compression parameters) in real-time according to predicted communication conditions, replacing static fixed allocation with adaptive dynamic allocation that matches actual needs.
Solution Approach 2:
The system performs preliminary prediction of future signal quality based on vehicle location and historical patterns before the actual data transmission occurs. By anticipating poor signal conditions in advance, the server can proactively allocate appropriate resources and prepare processing strategies, avoiding both over-allocation and under-allocation that occurs with fixed resource assignment.
2Reliability
If fixed buffer space is allocated for each vehicle to cope with re-transmission, then data completeness is improved, but memory usage increases
Solution Approach 1:
The patent dynamically adjusts buffer space allocation based on predicted communication quality and vehicle-specific factors. Instead of assigning fixed buffer sizes to all vehicles, the system monitors each vehicle's transmission patterns, location, and signal conditions to allocate buffer space that matches actual re-transmission needs, reducing overall memory consumption while maintaining data completeness.
Solution Approach 2:
The system applies different buffer allocation strategies to different vehicles based on their individual characteristics, locations, and communication conditions. Each vehicle receives a customized buffer configuration tailored to its specific needs rather than a uniform fixed allocation, optimizing memory usage across the fleet while ensuring each vehicle has sufficient buffer for its particular transmission requirements.
3Measurement precision
If data uploading frequency is fixed to ensure real-time monitoring, then monitoring effectiveness is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent implements variable periodic data uploading where the frequency is dynamically adjusted based on vehicle location, predicted signal quality, and current transmission status. Instead of uniform fixed-frequency uploads, the system increases upload frequency when signal quality is good and decreases it when signal quality deteriorates or vehicles are in stable conditions, maintaining monitoring effectiveness while reducing overall bandwidth consumption.
Solution Approach 2:
The system changes the data uploading frequency parameter dynamically based on multiple factors including vehicle location, historical transmission patterns, and predicted communication conditions. This parameter adaptation allows the system to optimize the balance between monitoring precision and network resource consumption by adjusting upload frequency to match actual operational needs rather than using a static fixed value.
Data Source
AI summary
The present invention discloses a data transmission method and apparatus. The method comprises: obtaining information of a vehicle, the information comprising a current location of the vehicle; predicting a possible location of the vehicle in a future period of time and corresponding communication connection quality; predicting changes of the communication connection quality in the vehicle running course according to the communication connection quality at the current location of the vehicle and the communication connection quality at the predicted location; and according to the changes, determining an adjustment policy of computing resources for processing data uploaded by the vehicle. By means of the method and apparatus of the embodiments of the present invention, computing resources for processing real-time data uploaded by vehicles can be determined dynamically.