Autonomous unmanned vehicle networks in civil applications are considered with increasing interest. Such networks are envisioned to consist of wireless sensors, robots and unmanned (aerial, ground, underwater) vehicles  and are being used in environmental monitoring, border surveillance, network provisioning, delivery, construction, emergency or disaster assistance. The challenges in the design of these networks range from physical control of the vehicles, navigation, to communication limitations.  Due to diverse and interdisciplinary nature of these challenges, algorithms and design principles proposed by networking, robotics, control theory, computer vision and articial intelligence research communities will need to be utilized.

IAUV aims to bring together state-of-the-art contributions on the design, specification and implementation of architectures, algorithms and protocols for current and future applications of autonomous unmanned vehicle networks, with a special focus on unmanned aerial vehicle (UAV) or drone networks.

Topics of Interest

Original, unpublished contributions are solicited in all aspects of networks of autonomous unmanned vehicles, robots and sensors.  Possible topics include, but are not limited to:

• UAV swarms
• Autonomous robot networks
• Modeling and simulation
• UAV-aided wireless sensor networks
• Optimal control of networked robots
• Ad hoc networks of drones
• Modeling and control of fleet of UAVs
• Self-organizing coordination and communication
• Energy-efficient and real-time communication protocols
• Bandwidth-efficient and delay-tolerant communication protocols
• Communication protocols for swarms of mobile robots
• Map exploration and pattern formation of multi-robot systems
• Task allocation
• Architectures and topology control
• Localization
• Quality of service, security and robustness issues
• Internet of Things (IoT) applications and prototypes
• Software-Defined Aerial Networks
• Context-awareness and decision making for UAV systems
• Path planning, and target tracking in autonomous unmanned vehicle networks