Inteligencia Descentralizada de Enjambre para Flotas de Carga Aérea Autónoma
AAVSwarm implementa formaciones aerodinámicas que reducen el consumo energético hasta un 28% aprovechando vórtices de punta de ala.
AAVSwarm Distributed Mesh Architecture
Inter-UAV Sidelink, Flocking Consensus, and Aerodynamic Formation Optimization
Central System: Distributed Swarm Consensus Engine - Byzantine Fault-Tolerant Core
Aviation Architecture Nodes
- Inter-UAV C-V2X Sidelink Mesh
- Virtual Leader Trajectory Synthesizer
- Relative Optical Ranging Sensor
- Aerodynamic Drag Minimizer
- Swarm Partition & Merge Gate
Architectural Layers & Protocol Stacks
- Inter-UAV Ad-Hoc Communication Mesh (3GPP C-V2X PC5 / IEEE 802.11be Ad-Hoc / AES-256 Mesh Encryption): Peer-to-peer wireless broadcast over 5.9 GHz C-V2X Sidelink (PC5) exchanging kinematic state vectors every 20 milliseconds.
- Flocking Consensus & Collision Avoidance (Buffered Voronoi Cells (BVC) / Distributed Model Predictive Control (DMPC)): Decentralized Reynolds flocking rules (Separation, Alignment, Cohesion) coupled with buffered Voronoi cells guaranteeing zero mid-air contact.
- Wake Vortex Surfing Optimization (Horseshoe Vortex Aerodynamic Model / Real-Time Power Minimization Solver): Micro-adjusting individual drone formation positions to ride the upwash field created by trailing wingtip vortices of forward aircraft.
- Dynamic Swarm Partitioning and Healing (Graph Theory Dynamic Topology / Raft Consensus for Swarm Splits): Seamless splitting of sub-swarms for multi-drop delivery destinations and autonomous re-merging during return cruise legs.
Flight Telemetry Metrics: < 20 ms (Inter-UAV State Synchronization) | 18.4% (Fleet Energy Savings via Wake Surfing) | 100% (Zero Mid-Air Collision Guarantee) | 250+ Drones (Autonomous Swarm Cluster Scale)
Escalando la Logística de Drones Individuales a Enjambres Autónomos
Controlling multiple uncrewed aircraft from a central ground station creates a catastrophic single point of failure and suffers from datalink bottlenecks. AAVSwarm implements biological flocking dynamics and cryptographic peer consensus, allowing drones to negotiate spacing, re-route around obstacles, and balance collective power in real time.
Core Engineering Areas
Technical Publications
Related Cluster Architecture Specifications
- AirspaceGateway — Advanced Air Mobility (AAM), Low-Altitude UTM Gateways & 4D Flight Corridor Deconfliction
- AAVDelivery — Autonomous Aerial Vehicle (AAV) Last-Mile Delivery, Automated Tethered Winch Drops & Urban Parcel Logistics
- AAVPort — Automated Vertiport Infrastructure, Final Approach Guidance & Megawatt eVTOL Fast-Charging
- AAVSync — Microsecond Flight Phase Synchronization, Time-Triggered Ethernet & Coordinated Avionics