Research Article
Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems
@INPROCEEDINGS{10.1007/978-3-030-67369-7_5, author={Anousheh Gholami and Nariman Torkzaban and John S. Baras and Chrysa Papagianni}, title={Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems}, proceedings={Ad Hoc Networks. 12th EAI International Conference, ADHOCNETS 2020, Paris, France, November 17, 2020, Proceedings}, proceedings_a={ADHOCNETS}, year={2021}, month={1}, keywords={Unmanned Aerial Vehicle (UAV) UAV-aided mobile communications UAV placement and relocation Multi-hop relaying Route optimization}, doi={10.1007/978-3-030-67369-7_5} }- Anousheh Gholami
Nariman Torkzaban
John S. Baras
Chrysa Papagianni
Year: 2021
Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems
ADHOCNETS
Springer
DOI: 10.1007/978-3-030-67369-7_5
Abstract
Unmanned Aerial Vehicles (UAVs) have been extensively utilized to provide wireless connectivity in rural and under-developed areas, enhance network capacity and provide support for peaks or unexpected surges in user demand, mainly due to their fast deployment, cost-efficiency and superior communication performance resulting from Line of Sight (LoS)-dominated wireless channels. In order to exploit the benefits of UAVs as base stations or relays in a mobile network, a major challenge is to determine the optimal UAV placement and relocation strategy with respect to the mobility and traffic patterns of the ground network nodes. Moreover, considering that the UAVs form a multi-hop aerial network, capacity and connectivity constraints have significant impacts on the end-to-end network performance. To this end, we formulate the joint UAV placement and routing problem as a Mixed Integer Linear Program (MILP) and propose an approximation that leads to a LP rounding algorithm and achieves a balance between time-complexity and optimality.
