A UAV-Cloud System for Disaster Sensing Applications

Chunbo Luo, J. Nightingale, E. Asemota, C. Grecos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

93 Citations (Scopus)


The application of small civilian unmanned aerial vehicles (UAVs) has attracted great interest for disaster sensing. However, the limited computational capability and low energy resource of UAVs present a significant challenge to real-time data processing, networking and policy making, which are of vital importance to many disaster related applications such as oil-spill detection and flooding. In order to address the challenges imposed by the sheer volume of captured data, particularly video data, the intermittent and limited network resources, and the limited resources on UAVs, a new cloud-supported UAV application framework has been proposed and a prototype system of such framework has been implemented in this paper. The framework integrates video acquisition, data scheduling, data offloading and processing, and network state measurement to deliver an efficient and scalable system. The prototype of the framework comprises of a client-side set of components hosted on the UAV which selectively offloads the captured data to a cloud-based server. The server provides real-time data processing and information feedback services to the incident control centre and client device/operator. Results of the prototype system are presented to demonstrate the feasibility of such framework.
Original languageEnglish
Title of host publicationIEEE 81st Vehicular Technology Conference (VTC Spring), 2015
Place of PublicationGlasgow
Number of pages5
ISBN (Print)978-1-4799-8088-8
Publication statusPublished - 2015


  • autonomous aerial vehicles
  • cloud computing
  • video signal processing
  • UAV-cloud system
  • cloud-based server
  • data offloading
  • data scheduling
  • disaster sensing
  • flooding
  • information feedback services
  • networking
  • oil-spill detection
  • policy making
  • real-time data processing
  • small civilian unmanned aerial vehicles
  • video acquisition
  • Algorithm design and analysis
  • Prototypes
  • Sensors
  • Servers
  • Streaming media
  • Wireless communication
  • Wireless sensor networks


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