Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2020 Sep 4;20(18):5036.
doi: 10.3390/s20185036.

Optimization and Communication in UAV Networks

Affiliations
Editorial

Optimization and Communication in UAV Networks

Christelle Caillouet et al. Sensors (Basel). .

Abstract

Nowadays, Unmanned Aerial Vehicles (UAVs) have received growing popularity in the Internet-of-Things (IoT) which often deploys many sensors in a relatively wide region. Current trends focus on deployment of a single UAV or a swarm of it to generally map an area, perform surveillance, monitoring or rescue operations, collect data from ground sensors or various communicating devices, provide additional computing services close to data producers, etc. Applications are very diverse and call for different features or requirements. But UAV remain low-power battery powered devices that in addition to their mission, must fly and communicate. Thanks to wireless communications, they participate to mobile dynamic networks composed of UAV and ground sensors and thus many challenges have to be addressed to make UAV very efficient. And behind any UAV application, hides an optimization problem. There is still a criterion or multiple ones to optimize such as flying time, energy consumption, number of UAV, quantity of data to send/receive, etc.

Keywords: UAV; algorithms; communication; drones; optimization; self-organization; swarm; wireless.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Similar articles

References

    1. Ma X., Liu T., Liu S., Kacimi R., Dhaou R. Priority-Based Data Collection for UAV-Aided Mobile Sensor Network. Sensors. 2020;20:3034. doi: 10.3390/s20113034. - DOI - PMC - PubMed
    1. Qin Z., Dong C., Wang H., Li A., Dai H., Sun W., Xu Z. Trajectory Planning for Data Collection of Energy-Constrained Heterogeneous UAVs. Sensors. 2019;19:4884. doi: 10.3390/s19224884. - DOI - PMC - PubMed
    1. Qin Z., Li A., Dong C., Dai H., Xu Z. Completion Time Minimization for Multi-UAV Information Collection via Trajectory Planning. Sensors. 2019;19:4032. doi: 10.3390/s19184032. - DOI - PMC - PubMed
    1. Sun H., Duo B., Wang Z., Lin X., Gao C. Aerial Cooperative Jamming for Cellular-Enabled UAV Secure Communication Network: Joint Trajectory and Power Control Design. Sensors. 2019;19:4440. doi: 10.3390/s19204440. - DOI - PMC - PubMed
    1. Chen Z., Yeh S., Chamberland J.F., Huff G.H. A Sensor-Driven Analysis of Distributed Direction Finding Systems Based on UAV Swarms. Sensors. 2019;19:2659. doi: 10.3390/s19122659. - DOI - PMC - PubMed

Publication types

LinkOut - more resources

  NODES
INTERN 2
twitter 2