An Internet of Drones
By R. J. Hall. IEEE Internet Computing, 2016
311 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2764f0cedf1e0c619d4a3d9e94b373af37df18a6
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
- Xiansheng Hua
- Zesong Fei
- JingJing Wang
- Mohammad Samar Ansari
- Dusist Niyato
- Ou Ma
- Jiankang Zhang
- Yan Zhang
In Computer Vision and Pattern Recognition
- Xiansheng Hua
- Neeraj Kumar
- Jiawen Kang
- JingJing Wang
- Joel J. P. C. Rodrigues
- Mohammad Samar Ansari
- Ashok Kumar Das
- Chunyan Miao
Citations in the corpus
- Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach (2020, background): “As such, studies proposing the Internet of Drones (IoD) and Drones-as-a-Service (DaaS) [18]–[20] have gained traction recently.”
- Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, background): “intentions several chances to attack the IoD environment, for example, through jamming, clogging, and hacking [136].”
- UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “[134], which argues the intersection of both existing IoT with UAVs in a dynamic integration.”
- Design and Analysis of Secure Lightweight Remote User Authentication and Key Agreement Scheme in Internet of Drones Deployment (2019, background): “The classes of drones such as military drones and noncompliant drones are also provided in [8].”
- A Comprehensive Survey on UAV Communication Channel Modeling (2019, background): “Determining the communication channels among a fleet of UAVs is essential to realize future industrial IoT ecosystem [149], [150].”