Adaptive Vehicle Multi-Network Architecture for Congestion Resilience
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Solution Overview
Problem
Vehicle networks experience congestion leading to reduced performance, affecting communication with remote computing devices and potentially compromising vehicle operations.
Innovation Solution
An adaptive multi-network architecture for vehicles that utilizes multiple modems to connect to different wireless networks, allowing data prioritization and transmission based on network parameters and availability, using network maps to predict and prepare for changing connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single network connection is used in the vehicle, then the device complexity is reduced, but the network connection reliability deteriorates due to congestion and reduced performance
Solution Approach 1:
The patent combines multiple network connections (first network and second network) into a unified communication architecture, allowing the vehicle to simultaneously utilize multiple modems and networks to transmit and receive data, thereby improving connection reliability through redundancy
Solution Approach 2:
The system dynamically changes network parameters by selecting different networks based on measured performance metrics such as bandwidth, latency, and signal strength, allowing adaptation to varying network conditions to maintain reliable communication
2Reliability
If multiple modems and networks are used to improve connection reliability, then the network connection reliability improves, but the device complexity increases
Solution Approach 1:
The system continuously measures network parameters (bandwidth, latency, signal strength) and uses this feedback to dynamically select and switch between networks, optimizing connection reliability while managing complexity through intelligent control
Solution Approach 2:
The network selection and data transmission strategy is made dynamic, allowing the system to adaptively adjust which network is used based on real-time conditions, rather than relying on a static single-network configuration
3Productivity
If data transmission is prioritized based on network parameters, then the productivity of data transfer improves, but the device complexity increases due to scheduling requirements
Solution Approach 1:
The system performs preliminary measurements of network parameters before data transmission and uses this information to pre-determine the optimal network and scheduling strategy, improving data transfer performance without requiring complex real-time decisions during transmission
Data Source
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AI summary
A vehicle can connect to multiple networks and can determine network parameters (e.g., available bandwidth, latency, signal strength, etc.) associated with the multiple networks. Additionally, the vehicle can access network map data associated with the multiple networks. As the vehicle traverses an environment, the vehicle can collect sensor data of the environment and/or vehicle data (e.g., vehicle pose, diagnostic data, etc.). Based on the network parameters and the network map data, the vehicle can optimize the use of the networks determine portions of the sensor data and/or vehicle data to transmit via the one or more of the multiple networks.