UAV Networking: Challenges, Modelling and Applications

Monday 13 November 2017, 2.00PM to 15:00

Speaker(s): Professor Chunbo Luo, University of Exeter

Synopsis

Unmanned aerial vehicles (UAVs) exhibit exceptional potentials in civilian and military domains. These are particularly useful in the applications where human lives would otherwise be endangered. Groups of UAVs can form an UAV network and accomplish complicated missions such as searching, rescue, patrolling, and mapping. The communications of UAV systems are prone to interference, latency, speed dynamicity and link interruption, which pose significant challenges for designing reliable aerial networks. For instance, the nodes in UAV networks may go out of service due to failure or power depletion; link disruption frequently occurs when UAVs fly out of the coverage; the links could have high bit error rates due to interference. Therefore, how to model, design and optimise the wireless communication networks is an urgent and important issue for UAV systems. This talk will discuss the challenges of UAV networking, elaborate some modelling work and introduce the relevant applications.
 

Biography

Dr. Chunbo Luo is a Lecturer in Computer Science within the College of Engineering, Mathematics and Physical Sciences at the University of Exeter. His research interests are wireless communications, UAVs, networks and signal processing. He received his PhD degree from the University of Reading, for his work on high performance cooperative wireless networks in 2011. He then joined the EPSRC SUAAVE project within the University of Ulster and developed autonomous UAV solutions for communication bridging and search and rescue tasks in collaboration with researchers from University College London and Oxford University. His research on UAVs includes UAV network modelling, UAV video processing and communication, UAV collision avoidance and safe landing zone identification, and UAV applications such as wildness search and rescue and disaster management.

Location: PT007

Admission: Free

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