Efficient 3D placement of a UAV using particle swarm optimization
Document Type
Conference Proceeding
Publication Date
5-8-2017
Abstract
Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stations when cellular networks go down. Prior studies on UAV-based wireless coverage typically consider an Air-To-Ground path loss model, which assumes that the users are outdoor and they are located on a 2D plane. In this paper, we propose using a single UAV to provide wireless coverage for indoor users inside a high-rise building under disaster situations (such as earthquakes or floods), when cellular networks are down. We assume that the locations of indoor users are uniformly distributed in each floor and we propose a particle swarm optimization algorithm to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users.
Identifier
85020170998 (Scopus)
ISBN
[9781509042432]
Publication Title
2017 8th International Conference on Information and Communication Systems Icics 2017
External Full Text Location
https://doi.org/10.1109/IACS.2017.7921981
First Page
258
Last Page
263
Grant
CNS-1647170
Fund Ref
National Science Foundation
Recommended Citation
Shakhatreh, Hazim; Khreishah, Abdallah; Alsarhan, Ayoub; Khalil, Issa; Sawalmeh, Ahmad; and Othman, Noor Shamsiah, "Efficient 3D placement of a UAV using particle swarm optimization" (2017). Faculty Publications. 9587.
https://digitalcommons.njit.edu/fac_pubs/9587
