City Node Data Handoff for Low-Latency Vehicle Communication
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Solution Overview
Problem
Existing vehicle communication systems lack efficient data transfer and route optimization, particularly in urban environments, leading to delays and suboptimal data delivery due to signal interference and network congestion.
Innovation Solution
A decentralized communication system utilizing blockchain technology and computing nodes for vehicle-to-infrastructure (V2I) and infrastructure-to-vehicle (I2V) communication, enabling real-time data transfer and route prediction based on vehicle speed, location, and data exchange with computing nodes along the route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is provided to or retrieved from vehicles using existing communication systems, then data transfer can occur, but the transfer time is unoptimized and latency is high
Solution Approach 1:
The system determines and pre-calculates optimal routes for vehicles based on predicted locations of computing nodes before data transfer occurs. By预先 determining the route that minimizes data transfer time considering vehicle speed and node locations, the system eliminates delays that would occur during actual data exchange operations.
Solution Approach 2:
The system creates virtual representations of vehicle trajectories and computing node locations to simulate and determine optimal data transfer routes. By copying and analyzing these virtual models, the system can identify the most efficient paths for data exchange without affecting actual vehicle operations or communication timing.
2Productivity
If vehicle routes are determined without considering data transfer parameters, then routing is simple, but data exchange efficiency deteriorates
Solution Approach 1:
The route determination system serves multiple functions simultaneously: it determines optimal paths for vehicle navigation while also calculating the most efficient routes for data transfer between vehicles and computing nodes. By making the routing system multi-functional, the patent eliminates the need for separate simple routing and complex data optimization systems.
Solution Approach 2:
The patent combines vehicle route determination with data transfer route optimization into a unified system. By merging these previously separate functions, the system achieves efficient data exchange without requiring additional complex subsystems, as the same routing logic serves both navigation and data communication purposes.
Data Source
AI summary
An example operation includes one or more of receiving information at a vehicle in proximity to a first node from the first node, sending information from the vehicle to the first node, analyzing the sent information by the first node, determining by the first node that the vehicle will be in proximity to an adjacent node to the first node, after the vehicle is no longer in proximity to the first node, receiving the analyzed information from the first node at the adjacent node, constructing information related to the received analyzed information at the adjacent node, and sending the constructed information to the vehicle from the adjacent node.