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  5. Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs
 
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Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

Author(s)
Rajakaruna, Archana  
Manzoor, Ahsan  
Porambage, Pawani  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/11693
Date Issued
2019-04-18
Date Available
2020-11-11T12:37:23Z
Abstract
The proliferation of the Internet of Things (IoT) technologies have strengthen the self-monitoring and autonomous characteristics of the sensor networks deployed in numerous application areas. The recent developments of the edge computing paradigms have also enabled on-site processing and managing the capabilities of sensor networks. In this paper, we introduce a system model that enables end-to-end secure connectivity between low-power IoT devices and UAVs, that helps to manage the data processing tasks of heterogeneous wireless sensor networks. The performance of proposed solution is analyzed by using simulation results. Moreover, in order to demonstrate the practical usability of the proposed solution, the prototype implementation is presented using commercial off-the-shelf devices.
Sponsorship
European Commission
Other Sponsorship
Business Finland
Academy of Finland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 IEEE
Subjects

Bioengineering

Internet of Things

Sensor nodes

Bluetooth low energy

Unmanned aerial vehic...

DOI
10.1109/WCNCW.2019.8902746
Web versions
https://wcnc2019.ieee-wcnc.org/
Language
English
Status of Item
Peer reviewed
Journal
2019 IEEE Wireless Communications and Networking Conference Workshop, WCNC Workshops 2019, Marrakech, Morocco, April 15-18, 2019
Conference Details
The 2019 IEEE Wireless and Networking Conference Workshops, Marrakech, Morocco, 15-18 April 2019
ISBN
978-1-7281-0922-0
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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1811.04283v3.pdf

Size

2.47 MB

Format

Adobe PDF

Checksum (MD5)

dde1a9f15a760f014e6098cbd5900462

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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