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Optimization and Communication in UAV Networks
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UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects.
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Keywords
- 3D models
- Algorithms
- aperiodic arrays
- collision-free
- Communication
- complex field network coding (CFNC)
- configuration control
- control co-design
- Cooperative communication
- Cramér–Rao bound
- Data Collection
- data collection utility
- data offloading
- decentralized sliding mode control
- direction-of-arrival estimation
- drones
- dynamic model
- Economics, finance, business & management
- edge computing
- Energy consumption
- GPS measurement
- Industry & industrial studies
- Information technology industries
- Internet of Things
- jamming
- measurement precision
- Media, information & communication industries
- mission completion time
- mobile nodes
- Mobile robots
- multi-access edge computing systems
- multiple unmanned aerial vehicles
- multiplicative noises
- Music
- optimization
- power control
- Resource allocation
- resource-based pricing
- risk-awareness
- secrecy rate maximization
- self-organization
- sensors
- stochastic robustness analysis and design
- stochastic system
- swarm
- synchronized multi-agent formation
- topology structure
- trajectory design
- trajectory planning
- UAV
- UAV fleet
- UAV replacement
- UAV secure communication
- UAV swarm
- UAV-enabled computing
- unmanned aerial vehicle
- unmanned aerial vehicle (UAV)
- unmanned aerial vehicles
- wireless
- Wireless sensor networks