Vehicle-to-Infrastructure Data Offload with Priority Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle systems transmit data in large batches when not in operation, which is inefficient and untimely, particularly for urgent data that needs to be transmitted in real-time, such as traffic information and vehicle vitals.
Innovation Solution
A method utilizing a wireless millimeter-wave communication network between vehicles and base station antennas, where a computing device associated with the base station ensures complete data offload by receiving and acknowledging data packets, resending missing packets, and prioritizing urgent data transmission, allowing for real-time communication of critical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data is transmitted in large batches when the vehicle is not in operation, then energy consumption is reduced and communication resources are optimized, but the timeliness of urgent data transmission deteriorates
Solution Approach 1:
The patent segments data into different priority levels (urgent data versus non-urgent data). Urgent data such as vehicle vitals and traffic information is transmitted immediately when opportunities arise, while non-urgent data is batched for later transmission. This segmentation allows the system to achieve both energy efficiency and timeliness by treating different data types differently.
Solution Approach 2:
The patent implements dynamic transmission strategies where the communication mode switches between immediate transmission and batched transmission based on data urgency and available opportunities. The system dynamically adjusts its behavior rather than using a fixed approach, allowing urgent data to be transmitted real-time while non-urgent data waits for energy-efficient batch transmission windows.
2Productivity
If data is transmitted in large batches when the vehicle is not in operation, then communication infrastructure load is reduced, but data transmission efficiency deteriorates
Solution Approach 1:
The patent divides data transmission into two streams: urgent data transmitted immediately upon generation or when communication opportunities arise, and non-urgent data accumulated for batched transmission during idle periods. This segmentation resolves the contradiction by ensuring urgent data experiences minimal delay while bulk data transmission occurs during energy-efficient windows, overall improving transmission efficiency.
3Loss of time
If real-time transmission of urgent data is implemented, then data timeliness is improved, but energy consumption increases
Solution Approach 1:
The patent applies different transmission qualities to different data types. Urgent data receives immediate transmission with higher energy consumption, while non-urgent data uses energy-efficient batched transmission. This local differentiation of transmission quality based on data importance allows the system to minimize overall energy consumption while ensuring critical data is transmitted timely.
Solution Approach 2:
The system dynamically adjusts transmission behavior based on data urgency classification. Rather than continuously transmitting all data in real-time (which would waste energy), the system activates real-time transmission only when urgent data is present, otherwise switching to energy-efficient batched modes. This dynamic adaptation resolves the energy-timeliness tradeoff.
4Reliability
If priority-based transmission of critical data is implemented, then operational safety is improved, but system complexity increases
Solution Approach 1:
The patent implements a simple priority-based segmentation where data is classified into urgent and non-urgent categories. Urgent data (vehicle vitals, traffic information) is transmitted immediately, while non-urgent data is batched. This straightforward segmentation approach improves operational safety without introducing complex priority queues or sophisticated scheduling algorithms, thus maintaining relatively low system complexity.
Data Source
AI summary
In one embodiment, a method includes receiving a portion of a data offload from a radar antenna of a first vehicle. The data offload includes data packets that each include a sequence number and a total number of data packets in the data offload. The method includes generating a data packet log, storing in the data packet log the sequence number of each received data packet, determining that one or more sequence numbers are missing from the data packet log, and sending to the radar antenna, a communication signal that includes an acknowledgement and the sequence numbers that are missing from the data packet log. The method also includes determining that one or more data packets of the data offload include a location of an object in an environment surrounding the first vehicle, and sending the location of the object to a second radar antenna of a second vehicle.


