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      UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things”

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          Abstract

          Unmanned aerial vehicles (UAVs) have enormous potential in enabling new applications in various areas, ranging from military, security, medicine, and surveillance to traffic-monitoring applications. Lately, there has been heavy investment in the development of UAVs and multi-UAVs systems that can collaborate and complete missions more efficiently and economically. Emerging technologies such as 4G/5G networks have significant potential on UAVs equipped with cameras, sensors, and GPS receivers in delivering Internet of Things (IoT) services from great heights, creating an airborne domain of the IoT. However, there are many issues to be resolved before the effective use of UAVs can be made, including security, privacy, and management. As such, in this paper we review new UAV application areas enabled by the IoT and 5G technologies, analyze the sensor requirements, and overview solutions for fleet management over aerial-networking, privacy, and security challenges. Finally, we propose a framework that supports and enables these technologies on UAVs. The introduced framework provisions a holistic IoT architecture that enables the protection of UAVs as “flying” things in a collaborative networked environment.

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          Internet of Things for Smart Cities

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            Energy-Efficient UAV Communication With Trajectory Optimization

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              Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                17 November 2018
                November 2018
                : 18
                : 11
                : 4015
                Affiliations
                [1 ]Computer Science Department, The University of Sheffield International Faculty, CITY College, 54626 Thessaloniki, Greece; t.lagkas@ 123456sheffield.ac.uk
                [2 ]Department of Networks and Digital Media, Kingston University, Surrey KT1 2EE, UK; vasileios.argyriou@ 123456kingston.ac.uk
                [3 ]Department of Informatics and Telecommunication Engineering, University of Western Macedonia, 50100 Kozani, Greece; sbibi@ 123456uowm.gr
                Author notes
                Author information
                https://orcid.org/0000-0002-0749-9794
                https://orcid.org/0000-0001-6042-0355
                Article
                sensors-18-04015
                10.3390/s18114015
                6263805
                30453646
                79ee5e1a-0b47-45e2-b9ee-e1edafe48617
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 20 October 2018
                : 15 November 2018
                Categories
                Review

                Biomedical engineering
                security,privacy,drones,iot,uav
                Biomedical engineering
                security, privacy, drones, iot, uav

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