A UAV-cloud system for disaster sensing applications

Chunbo Lou, James Nightingale, Ekhorutomwen Asemota, Christos Grecos

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

38 Citations (Scopus)

Abstract

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.

LanguageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015
ISBN (Electronic)9781479980888
DOIs
Publication statusPublished - 1 Jan 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Conference

Conference81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom
CityGlasgow
Period11/05/1514/05/15

Fingerprint

Unmanned aerial vehicles (UAV)
Disaster
Disasters
Sensing
Prototype
Resources
Servers
Server
Oil Spill
Real-time
Oil spills
Flooding
Energy resources
Data Acquisition
Networking
Data acquisition
Scheduling
Integrate
Framework
Feedback

Keywords

  • cloud
  • scheduler
  • UAV
  • video communication
  • wireless networks

Cite this

Lou, C., Nightingale, J., Asemota, E., & Grecos, C. (2015). A UAV-cloud system for disaster sensing applications. In 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings (Vol. 2015). [7145656] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2015.7145656
Lou, Chunbo ; Nightingale, James ; Asemota, Ekhorutomwen ; Grecos, Christos. / A UAV-cloud system for disaster sensing applications. 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings. Vol. 2015 Institute of Electrical and Electronics Engineers Inc., 2015.
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Lou, C, Nightingale, J, Asemota, E & Grecos, C 2015, A UAV-cloud system for disaster sensing applications. in 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings. vol. 2015, 7145656, Institute of Electrical and Electronics Engineers Inc., 81st IEEE Vehicular Technology Conference, VTC Spring 2015, Glasgow, United Kingdom, 11/05/15. https://doi.org/10.1109/VTCSpring.2015.7145656

A UAV-cloud system for disaster sensing applications. / Lou, Chunbo; Nightingale, James; Asemota, Ekhorutomwen; Grecos, Christos.

2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings. Vol. 2015 Institute of Electrical and Electronics Engineers Inc., 2015. 7145656.

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

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Lou C, Nightingale J, Asemota E, Grecos C. A UAV-cloud system for disaster sensing applications. In 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings. Vol. 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7145656 https://doi.org/10.1109/VTCSpring.2015.7145656