Adaptive Physical Routing for Real-Time Connectivity Gaps
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Solution Overview
Problem
Existing wireless communication systems for remotely operated vehicles (ROVs) and autonomous vehicles (AVs) fail to guarantee reliable connectivity under critical scenarios due to unpredictable network connectivity issues, limited uplink transmitter power, and uplink capacity constraints, leading to potential safety risks.
Innovation Solution
A system that adjusts physical routes based on real-time connectivity data by leveraging real-time data from ROVs and network sources to identify and avoid connectivity gaps, recommending alternative routes or network switches to maintain reliable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle travels at high speed along a fixed physical route, then productivity is improved, but reliability of connectivity deteriorates due to unpredictable network connectivity issues
Solution Approach 1:
The system dynamically adjusts the physical route of the vehicle based on real-time connectivity conditions. Instead of following a fixed predetermined route, the vehicle's path is continuously optimized to maintain connectivity while allowing high-speed travel. The route adjustment is dynamic and adaptive to changing network conditions.
Solution Approach 2:
The system implements a feedback mechanism where connectivity performance data is collected from the vehicle's movement, analyzed to identify connectivity gaps, and used to generate route adjustments. This closed-loop feedback ensures that the vehicle maintains reliable connectivity while traveling at high speeds by continuously adapting the route based on actual network conditions.
2Reliability
If the system recommends alternative routes to avoid connectivity gaps, then reliability of connectivity is improved, but loss of time increases due to route deviations
Solution Approach 1:
The system performs preliminary analysis of connectivity data to identify potential connectivity gaps before the vehicle reaches them. By predicting connectivity issues in advance and proactively adjusting the route, the system avoids sudden deviations and minimizes time loss while ensuring connectivity reliability is maintained.
Solution Approach 2:
The system optimizes route parameters such as speed, direction, and timing to minimize deviations from the original path while avoiding connectivity gaps. By carefully adjusting these parameters, the system reduces the time penalty associated with route changes while maintaining connectivity reliability.
3Measurement precision
If the system collects and processes real-time connectivity data, then measurement precision of connectivity issues is improved, but device complexity increases
Solution Approach 1:
The system uses the vehicle's existing sensors, communication interfaces, and onboard processors to collect and analyze connectivity data. By leveraging already-available vehicle resources rather than adding dedicated specialized equipment, the system achieves precise connectivity measurement without significantly increasing device complexity.
Data Source
AI summary
A system configured to manage physical routes associated with one or more communication devices. The system determines information associated with a performance of a communication network connecting a first communication device with a second communication device as the first communication device moves along a physical route. The system, responsive to determining the information, determines instructions for improving a connection between the first communication device and the second communication device. The system provides an indication of the instructions to the first communication device.