Decentralized Sensor Network Node for Drone Traffic Control
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Solution Overview
Problem
Existing sensor systems are vulnerable to central data processing unit disruptions, require a power/network infrastructure, and are susceptible to man-in-the-middle attacks, lacking decentralized processing capabilities and flexibility in complex environments like urban air traffic control for drones.
Innovation Solution
A network node for a sensor system that communicates with other nodes to receive and process external information about physical waves reflected or emitted by objects, enabling decentralized calculation and self-organization, reducing reliance on central units and enhancing security through blockchain integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central data processing unit is used to process sensor data, then the system can be simplified and easier to manage, but the system becomes vulnerable to disruptions and single points of failure
Solution Approach 1:
The patent divides the centralized data processing function into distributed network nodes. Each node independently processes sensor data and communicates with other nodes, eliminating the single point of failure. The system segments the control architecture into autonomous units that can operate independently while maintaining coordinated functionality through peer-to-peer communication.
2Reliability
If decentralized processing is implemented across multiple network nodes, then system reliability and security are improved, but the device complexity increases
Solution Approach 1:
The patent implements universal node designs where each network node can perform multiple functions: sensing, data processing, communication, and coordination. This multi-functionality reduces the need for specialized components at each node, simplifying the overall architecture while maintaining decentralized processing benefits. Each node is designed as a self-sufficient unit that can operate independently or in coordination with others.
3Ease of manufacture
If existing power and network infrastructure is relied upon, then the sensor system can be easily deployed, but the system loses flexibility and independence in complex environments
Solution Approach 1:
The patent enables network nodes to be self-sufficient by integrating power generation capabilities (such as energy harvesting from environmental sources) and autonomous operation. Each node can generate its own power, process its own data, and communicate independently, eliminating dependence on external infrastructure. This self-service capability allows deployment in remote or complex environments where traditional power and network infrastructure is unavailable.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances the reliability and scalability of sensor systems by allowing decentralized data processing, identifying faulty nodes, and maintaining system stability and security, especially in complex environments like urban air traffic control for drones.
Implementation Method 1
The control module 34 is configured to detect a first physical wave reflected by or emitted from an object
Data Source
Figure 1~3
Figure 2
AI summary
Exemplary embodiments of the present invention provide a network node 30 for a sensor system. The network node 30 comprises one or more interfaces 32 for communication with another network node and a control module 34 configured to control the one or more interfaces 32. Furthermore, the control module 34 is configured to detect a first physical wave reflected by or emitted from an object. The control module 34 is also configured to receive external information about a second physical wave reflected by or emitted from the object from the other network node and to determine information for the sensor system based on the first detected physical wave and the external information.