Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives
By Naser Hossein Motlagh, Tarik Taleb, Osama Arouk. 2016
827 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Rui Zhang
- Qingqing Wu
- Merouane Debbah
- Yong Zeng
- Walid Saad
- Medhi Bennis
- Mohammad Mozaffari
- M. Di Renzo
In Computer Networks and Communications
- Rui Zhang
- Merouane Debbah
- Medhi Bennis
- Walid Saad
- Qingqing Wu
- Yong Zeng
- Mohammad Mozaffari
- Young-Han Nam
Citations in the corpus
- A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones (2018, background): “The “ultimate” IoT node will be capable of autonomously navigating the environment and, at the same time, sensing, analyzing, and understanding it [1].”
- UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “[21] presented a comprehensive survey and highlighted the potentials for the”
- Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, background): “In [31], the UAV-enabled IoT services are overviewed with a particular focus on data collection, delivery, and processing, while in [32] the challenges in designing and implementing multi-UAV networks for a wide range of cyber-physical applications are reviewed.”
- Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings (2019, background): “Developments such as cars that are connected and autonomous [4] to flying robots [5] and smart houses [6] are all examples of either IoT being integrated into legacy systems or IoT enabling the creation of entirely new concepts.”
- Security analysis of drones systems: Attacks, limitations, and recommendations (2020, neutral): “The aim was to develop a UA-Sense-and-Avoid (SAA) system, based on the ability to sense and avoid obstacles, in coordination with the Federal Aviation Administration (FAA) standard (RTCA SC-203) [40] .”
- Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks (2018, methodology): “Among these applications, the use of UAV to perform sensing has been of particular interest owing to its significant advantages, such as the ability of on-demand flexible deployment, larger service coverage compared with the conventional fixed sensor nodes, and additional design degrees of freedom b”
- Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, methodology): “Briefly, the surveys conducted in [26] and [25] were primarily limited to architectures for delivering IoT services from drones.”
- What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G (2021, background): “A comprehensive survey on UAV-based IoT services is [17], which presents the relevant key challenges and require-”
- An Amateur Drone Surveillance System Based on the Cognitive Internet of Things (2017, background): “During the past few years, mini-unmanned aerial vehicles (UAV), also known as drones, have received worldwide increasing interests for their numerous applications in communications, surveillance, agriculture, photography, and public services, etc [1].”
- Space-Air-Ground Integrated Network: A Survey (2018, neutral): “tors [174].”
- A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques (2020, neutral): “There is a possibility that UAV-IoT ecosystems providing aerial IoT services [44] might inherit the same security challenges.”
- Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey (2021, neutral): “[27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40].”
- A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “In particular, key challenges and requirements for designing UAV-assisted IoT networks are discussed in [48].”
- Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020, background): “To solve this challenge, a distributed sensing and actuation network of BLE-enabled UAVs can be formed [57] where master UAV will be controlled by a farmer directly and other UAVs will act as slaves located at an appropriate distance from each other.”