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flowchart LR
A[UAV Fundamentals] --> B[FANET Fundamentals]
B --> C[Gateway Selection]
B --> D[FANET-VANET Integration]
C --> E[Trajectory & Implementation]
D --> E
style A fill:#7F8C8D,stroke:#2C3E50,color:#fff
style B fill:#2C3E50,stroke:#16A085,color:#fff
style C fill:#16A085,stroke:#2C3E50,color:#fff
style D fill:#E67E22,stroke:#2C3E50,color:#fff
style E fill:#7F8C8D,stroke:#2C3E50,color:#fff
450 UAV: FANETs and Integration
450.1 Overview
This section covers Flying Ad Hoc Networks (FANETs) and their integration with ground networks. FANETs are mobile ad hoc networks formed by UAVs, characterized by high mobility, 3D topology, and dynamic membership. These chapters explore FANET architecture, gateway selection algorithms, and integration with vehicular and sensor networks.
450.2 Chapters in This Section
450.2.1 FANET: Flying Ad Hoc Network Fundamentals
Understand the core concepts of Flying Ad Hoc Networks:
- FANET Architecture: UAV-to-UAV communication in 3D space
- Comparison with MANETs/VANETs: Mobility, topology dimension, and energy constraints
- Communication Types: Intra-plane, inter-plane, ground station, and WSN links
- Routing Protocols: Position-based and predictive routing for high-mobility environments
450.2.2 FANET: Gateway Selection and Optimization
Design algorithms for optimal ground station connectivity:
- Stability Score Formula: Weighted combination of link quality, energy, and centrality
- Sub-Area Partitioning: K-means clustering for balanced gateway distribution
- Dynamic Reselection: Triggers and handover procedures for changing conditions
- Load Balancing: Distributing traffic among multiple gateways
450.2.3 FANET-VANET Integration and Ground Networks
Integrate UAV networks with vehicular and ground infrastructure:
- Integration Use Cases: Coverage extension, traffic monitoring, emergency response
- Dual Mobility Challenges: Handling both UAV and vehicle movement
- Position-Based Routing: Energy-aware geographic forwarding in 3D
- Multi-Layer Architecture: Altitude stratification for sensing and relay separation
450.3 Learning Path
450.4 Prerequisites
Before starting these chapters, ensure familiarity with:
- UAV Networks: Fundamentals and Topologies: Basic UAV network concepts, star and mesh topologies, 3D mobility challenges
- Multi-Hop Fundamentals: Relay strategies and multi-hop routing protocols
- Wireless Sensor Networks: WSN architectures for understanding FANET-WSN integration
- Networking Basics: Core ad hoc networking and routing concepts
450.5 Key Concepts
| Concept | Description |
|---|---|
| FANET | Flying Ad Hoc Network—UAVs forming temporary wireless networks in 3D space |
| 3D Topology | Network connections in three-dimensional space with altitude layers |
| High Mobility | UAVs move at 10-30 m/s, causing very fast topology changes |
| Intra-Layer | Horizontal communication between UAVs at same altitude |
| Inter-Layer | Vertical communication between UAVs at different altitudes |
| Gateway UAV | Selected UAV that relays data between FANET and ground control station |
| Stability Score | Weighted metric combining link quality, energy, and centrality for gateway selection |
| Position-Based Routing | Geographic forwarding using GPS coordinates without explicit route discovery |
450.6 What You’ll Learn
By completing these chapters, you will be able to:
- Understand FANET Architecture: Explain Flying Ad Hoc Networks and UAV-to-UAV communication
- Compare Network Types: Differentiate FANETs from MANETs and VANETs based on mobility and topology
- Design 3D Topologies: Plan aerial network formations accounting for three-dimensional space
- Handle High Mobility: Select routing protocols suitable for very fast topology changes
- Implement Gateway Selection: Design stability-score-based algorithms for optimal ground connectivity
- Integrate Ground Networks: Connect FANETs with terrestrial IoT and vehicular infrastructure
- Optimize for Constraints: Balance communication range, energy, and mission requirements
450.7 Next Steps
After completing these chapters, continue with:
- UAV Trajectory Labs and Implementation: Practical trajectory planning and control
- UAV Trajectory Control: Advanced control algorithms
- UAV Energy Planning: Energy-aware mission planning