UAV Network Topology Configuration via Sensor-Based Prediction
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Solution Overview
Problem
FANET network performance is reduced due to rapid UAV movement and weather changes, with existing DTN-based routing protocols struggling to accurately predict topology changes and account for weather information.
Innovation Solution
A method and device that receive current location, movement direction, speed, and sensor information from UAVs to calculate future locations and link quality, adjusting the network topology for optimal communication quality and speed by considering wind direction and velocity, and using sensor information to determine network quality and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If DTN-based routing protocols using GPS information are used for path selection, then current location information can be utilized for routing, but the topology changes in the future cannot be reflected accurately in finely moving UAV networks
Solution Approach 1:
The patent applies preliminary action by predicting future locations of UAVs based on current movement information (velocity, direction) and configuring network topology in advance. The controller calculates predicted locations at future time points and pre-configures routing paths before topology changes occur, allowing the system to proactively adapt to mobility rather than reactively responding to it.
2Loss of time
If network topology is configured based on current UAV positions, then routing can be established quickly, but weather changes and UAV mobility cause network performance reduction
Solution Approach 1:
The system performs preliminary action by predicting future UAV positions using current movement data and pre-configuring network topology before actual position changes occur. The controller calculates predicted locations at future time points (t+Δt) and establishes routing paths in advance, reducing the need for frequent topology reconfigurations and maintaining network performance despite mobility and weather changes.
3Measurement precision
If sensor information is collected frequently to improve prediction accuracy, then network topology can be configured more accurately, but communication overhead and energy consumption increase
Solution Approach 1:
The patent applies partial action by selectively collecting sensor information only when necessary for accurate prediction. The system evaluates whether current sensor data suffices for reliable topology configuration and only requests additional sensor collections when prediction accuracy falls below required thresholds, avoiding unnecessary energy consumption from continuous frequent sampling.
Data Source
AI summary
The present invention relates to a device and a method for configuring the topology of a UAV network having a plurality of unmanned air vehicles, the device and the method using the current location, moving speed, and movement direction of respective unmanned air vehicles to predict the locations of the unmanned air vehicles, and predicting a topology enabling an optimum network to be configured in consideration of meteorological influence and link quality, and thus a more stable UAV network can be configured.