TY - GEN
T1 - Autonomous Navigation and Communication Control for Multi-UAV Enabled Mobile Internet of Vehicles
AU - Savkin, Andrey V.
AU - Huang, Chao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - The paper studies an Internet of Vehicles system consisting of several UAVs sending downlink information to ground vehicles to move an uneven terrain. A real-time law for joint communication and multi-UAV navigation is proposed to maximize the total downlink throughput of the system while minimizing the total transmit power and the propulsion energy of the multi-UAV team subject to communication interference and collision avoidance constraints for the UAVs. Computer simulations illustrate the performance of the method.
AB - The paper studies an Internet of Vehicles system consisting of several UAVs sending downlink information to ground vehicles to move an uneven terrain. A real-time law for joint communication and multi-UAV navigation is proposed to maximize the total downlink throughput of the system while minimizing the total transmit power and the propulsion energy of the multi-UAV team subject to communication interference and collision avoidance constraints for the UAVs. Computer simulations illustrate the performance of the method.
UR - http://www.scopus.com/inward/record.url?scp=85173908080&partnerID=8YFLogxK
U2 - 10.1109/CCTA54093.2023.10253404
DO - 10.1109/CCTA54093.2023.10253404
M3 - Conference article published in proceeding or book
AN - SCOPUS:85173908080
T3 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
SP - 239
EP - 242
BT - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Y2 - 16 August 2023 through 18 August 2023
ER -