Vehicle Data Packet Segmentation to Reduce Redundant Transmission
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Solution Overview
Problem
Existing methods for transmitting data packets to vehicles result in redundancy, leading to increased costs and network load, as the same data packets are transmitted redundantly to groups of vehicles, even when they contain matching data sections.
Innovation Solution
A method where a stationary server identifies a group of vehicles based on relative distances and wireless network connections, determines redundantly requested data sections, and transmits a redundancy-free data packet to a distributing vehicle, which then distributes it within the group via a more cost-effective second wireless network, while vehicles request missing sections directly from the server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the stationary server transmits the same data packet to every vehicle in a group, then all vehicles receive the complete data packet, but the data transmission becomes redundant and increases network load and costs
Solution Approach 1:
The data packet is segmented into multiple data sections, each assigned to a different vehicle based on its capability to process and distribute that specific section. This segmentation allows the server to transmit only necessary portions to each vehicle, eliminating redundancy while ensuring complete data distribution across the group.
Solution Approach 2:
Each vehicle is assigned specific data sections based on its local characteristics such as processing capabilities, storage capacity, and distribution role within the group. This local quality approach ensures that each vehicle receives only the data sections it can effectively handle, reducing overall network load while maintaining delivery reliability.
2Productivity
If the stationary server transmits data packets to multiple vehicles, then all vehicles are updated, but the transmission costs and network load increase due to redundancy
Solution Approach 1:
The update data is divided into segments that are distributed to different vehicles according to their capabilities. This segmentation enables parallel processing and distribution, improving overall update efficiency while reducing redundant transmissions and associated costs.
Solution Approach 2:
Vehicles with higher processing capabilities or designated distribution roles automatically receive and distribute specific data sections to other vehicles in the group. This self-service mechanism reduces the server's transmission burden and lowers overall transmission costs while maintaining update efficiency.
3Stability of the object's composition
If the stationary server transmits complete data packets to all vehicles, then data consistency is maintained, but unnecessary data sections are transmitted redundantly
Solution Approach 1:
The complete data packet is segmented into multiple sections, with each section assigned to a specific vehicle based on its processing capabilities. This segmentation reduces the total transmitted data volume by eliminating redundant sections while maintaining data consistency through coordinated distribution among vehicles.
Solution Approach 2:
Each vehicle receives data sections matched to its local processing capabilities and distribution role. This local quality approach ensures data consistency within each vehicle's responsibility scope while minimizing the total quantity of transmitted data by avoiding unnecessary redundancy.
Data Source
AI summary
A plurality of vehicles request respective data packets, each containing different data sections, from a stationary server and vehicle. In response, the stationary server transmits data packets to the vehicles.