Autonomous Sensor Drone for 3D Wireless Network Optimization
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Solution Overview
Problem
Wireless network performance is difficult to monitor and optimize in real-time, especially in unknown environments, leading to slow or unreliable connections that can impact productivity and user experience.
Innovation Solution
A system using an autonomously moving sensor, such as a drone, to collect network performance data in a three-dimensional space, predict root causes of below-threshold performance, and provide troubleshooting steps through a graphical user interface, which visualizes network performance and suggests optimal locations for wireless access points or additional devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static monitoring methods are used, then device complexity is reduced, but measurement precision and real-time optimization capability deteriorate
Solution Approach 1:
The patent transforms the monitoring system from static to dynamic by deploying mobile sensors (drones, robots, vehicles) that can move through three-dimensional space to collect network performance data at multiple locations and heights, enabling real-time optimization while maintaining manageable system complexity through automated sensor deployment and centralized data processing
Solution Approach 2:
The patent extends monitoring from traditional two-dimensional ground-level planes to three-dimensional space by utilizing sensors that can operate at various heights and positions, providing comprehensive coverage of wireless signal propagation in vertical and horizontal dimensions simultaneously
2Productivity
If manual monitoring methods are used, then device complexity is reduced, but productivity and real-time optimization capability deteriorate
Solution Approach 1:
The system enables self-service automation where sensors autonomously navigate and collect data, the system automatically processes collected data to identify performance issues, and automated algorithms generate optimization recommendations, significantly improving productivity while the modular architecture keeps system complexity manageable
Solution Approach 2:
The patent implements continuous feedback loops where collected network performance data is analyzed in real-time, root causes are identified, and optimization actions are recommended and implemented, creating an automated closed-loop system that enhances productivity through continuous self-optimization
3Measurement precision
If comprehensive data collection is performed, then measurement precision improves, but loss of time increases
Solution Approach 1:
The patent implements continuous data collection through mobile sensors that can operate without interruption as they move through the monitored space, eliminating the need to stop and restart measurements, thereby maintaining high measurement precision while reducing total data collection time through uninterrupted continuous monitoring
Data Source
AI summary
A method, computer system, and a computer program product for network optimization is provided. The present invention may include moving a sensor in a three-dimensional space. The present invention may also include collecting, using the sensor, network performance data in a plurality of locations in the three-dimensional space. The present invention may further include detecting, based on the network performance data, at least one location of the plurality of locations including below-threshold network performance. The present invention may further include predicting at least one root cause for the below-threshold network performance at the at least one location.