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The Journal of Supercomputing

Erschienen in:

01.09.2016

Internet of surveillance: a cloud supported large-scale wireless surveillance system

verfasst von: Mohammad A. Alsmirat, Yaser Jararweh, Islam Obaidat, Brij B. Gupta

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2017

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Abstract

Large-scale video surveillance systems are among the necessities for securing our life these days. The high bandwidth demand and the large storage requirements are the main challenges in such systems. To face these challenges, the system can be deployed as a multi-tier framework that utilizes different technologies. In such a framework, technologies proposed under the umbrella of the Internet of Things (IoT) can play a significant rule in facing the challenges. In video surveillance, the cameras can be considered as “the things” that are streaming videos to a central processing and storage server (the cloud) through the Internet. Wireless technologies can be used to connect wireless cameras to the surveillance system more conveniently than wired cameras. Unfortunately, wireless communication in general tend to have limited bandwidth that needs careful management to achieve scalability. In this paper, we design and evaluate a reliable IoT-based wireless video surveillance system that provides an optimal bandwidth distribution and allocation to minimize the overall surveillance video distortion. We evaluate our system using NS-3 simulation. The results show that the proposed framework fully utilizes the available cloud bandwidth budget and achieves high scalability.

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Titel: Internet of surveillance: a cloud supported large-scale wireless surveillance system
verfasst von: Mohammad A. Alsmirat
Yaser Jararweh
Islam Obaidat
Brij B. Gupta
Publikationsdatum: 01.09.2016
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 3/2017
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-016-1857-x

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