NDLI: A UAV-Cloud System for Disaster Sensing Applications

Content Provider	IEEE Xplore Digital Library
Author	Chunbo Luo Nightingale, J. Asemota, E. Grecos, C.
Copyright Year	2015
Description	Author affiliation: Sch. of Eng. & Comput., AVCN Res. Centre, Univ. of the West of Scotland, Paisley, UK (Chunbo Luo; Nightingale, J.) \|\| Technol. Services, Capgemini, UK (Asemota, E.)
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.
Starting Page	1
Ending Page	5
File Size	368379
Page Count	5
File Format	PDF
ISBN	9781479980888
DOI	10.1109/VTCSpring.2015.7145656
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-11
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Prototypes Sensors Streaming media Algorithm design and analysis Wireless communication Wireless sensor networks
Content Type	Text
Resource Type	Article

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