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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

UAV-Based IoT Platform: A Crowd Surveillance Use Case

Open access
Motlagh, Naser Hossein, Bagaa, Miloud, Taleb, Tarik·2017·IEEE Communications Magazine

Abstract

Unmanned aerial vehicles are gaining a lot of popularity among an ever growing community of amateurs as well as service providers. Emerging technologies, such as LTE 4G/5G networks and mobile edge computing, will widen the use case scenarios of UAVs. In this article, we discuss the potential of UAVs, equipped with IoT devices, in delivering IoT services from great heights. A high-level view of a UAV-based integrative IoT platform for the delivery of IoT services from large height, along with the overall system orchestrator, is presented in this article. As an envisioned use case of the platform, the article demonstrates how UAVs can be used for crowd surveillance based on face recognition. To evaluate the use case, we study the offloading of video data processing to a MEC node compared to the local processing of video data onboard UAVs. For this, we developed a testbed consisting of a local processing node and one MEC node. To perform face recognition, the Local Binary Pattern Histogram method from the Open Source Computer Vision is used. The obtained results demonstrate the efficiency of the MEC-based offloading approach in saving the scarce energy of UAVs, reducing the processing time of recognition, and promptly detecting suspicious persons.

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Metadata

Authors
Motlagh, N. H., Bagaa, M., & Taleb, T.
Venue
IEEE Communications Magazine
Published
2017-02
Volume
55
Issue
2
Pages
128-134
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2586992378
Cited by
731
References
8
FWCI
81.48
Type
journal article
Language
en
Open access
green

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Motlagh, N. H., Bagaa, M., & Taleb, T. (2017). UAV-Based IoT Platform: A Crowd Surveillance Use Case. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2017.1600587cm

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