FANET UAV Dynamic Repositioning for Network Traffic Prioritization
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Solution Overview
Problem
Flying Ad-Hoc Networks (FANETs) face challenges in dynamic optimization, leading to inefficient network resource allocation and prioritization, particularly in remote areas where UAVs may be underutilized or overloaded, and lack the ability to differentiate between enterprise and non-enterprise traffic, causing connectivity issues for users.
Innovation Solution
A system where a server analyzes network activity information from user devices using predefined rules to prioritize connections and reposition UAVs, ensuring higher priority devices receive optimal connectivity, with features like follow-me protocols and battery management to maintain coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If FANETs provide general coverage in a geographical area, then network coverage is extended to remote areas, but UAVs are positioned in areas with no user devices while other UAVs get overloaded with network traffic
Solution Approach 1:
The patent implements dynamic repositioning of UAVs based on real-time network activity information. The server continuously receives updates about user device locations and network traffic patterns, then instructs UAVs to adjust their positions dynamically. This transforms the static FANET coverage model into a dynamic one where UAVs can optimize their locations to match actual user demand, resolving the contradiction between maintaining broad coverage and achieving efficient resource allocation.
Solution Approach 2:
The system establishes a feedback loop where the server receives network activity information from user devices, analyzes this data to determine optimal UAV positions, and sends repositioning instructions back to the UAVs. This closed-loop control mechanism enables continuous optimization of network resource allocation based on actual usage patterns, allowing the system to adapt to changing conditions and eliminate the mismatch between UAV positions and user locations.
2Adaptability or versatility
If FANETs provide general coverage without prioritization, then all user devices receive equal service, but enterprise-related traffic experiences delays and limited access to enterprise resources
Solution Approach 1:
The patent applies local quality by implementing different service levels for different types of traffic. The server analyzes network activity information to identify enterprise-related traffic and applies prioritization rules specifically to this category. High-priority user devices associated with enterprise activities receive preferential treatment in terms of UAV positioning and resource allocation, while other traffic receives standard service. This differentiated approach ensures reliable enterprise resource access without compromising overall system versatility.
3Reliability
If UAVs are repositioned based on network demands, then high-priority user devices receive optimal connectivity, but the system complexity increases due to dynamic optimization requirements
Solution Approach 1:
The patent introduces a server as an intermediary between user devices and UAVs. This centralised controller receives network activity information from all user devices, performs the complex analysis and prioritization calculations, and generates repositioning instructions for the UAVs. By offloading the optimization complexity to the server, the individual UAVs and user devices can remain relatively simple, while the system as a whole achieves high connection reliability for priority devices through coordinated control.
Data Source
AI summary
Described herein are methods and systems for dynamically optimizing a Flying Ad-Hoc Network (“FANET”). A server that manages the FANET can receive information relating to the network activity of user devices connected to the FANET. Examples of the type of information included can include the user devices' locations, network connection quality, and network traffic volume dedicated to a Unified Endpoint Management (“UEM”) system of an enterprise. The server can analyze the network activity information based on a set of rules to prioritize the user devices connected to the FANET. The server can instruct unmanned aerial vehicles (“UAVs”) in the FANET to reposition themselves to provide the best connection for higher priority user devices.