TY - GEN
T1 - Distributed Mission and Charging Scheduling for UAV Swarm to Maximize Service Coverage
AU - Li, Chung I.
AU - Yen, Li-Hsing
AU - Cho, Min Chun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - In recent decades, unmanned aerial vehicles (UAVs) have been widely adopted such as serving as flying base stations. Compared to traditional solutions, the deployment of UAV s is fast and low-cost. However, due to UAVs' limited energy capacity, efficiently utilizing UAV s' energy is a matter of concern. One solution is to use rechargeable UAV s, but the challenge of charging schedule comes in the wake of it. In this paper, this problem is modeled as a non-cooperative game where a UAV can choose a strategy in order to maximize its payoff. Also, we have proved that the proposed game is an exact potential game (EPG) which ensures a Nash equilibrium (NE) with best-response dynamics. Numerical results show that the proposed algorithm has a larger coverage ratio and is more flexible than other algorithms in most environments; hence, a better performance.
AB - In recent decades, unmanned aerial vehicles (UAVs) have been widely adopted such as serving as flying base stations. Compared to traditional solutions, the deployment of UAV s is fast and low-cost. However, due to UAVs' limited energy capacity, efficiently utilizing UAV s' energy is a matter of concern. One solution is to use rechargeable UAV s, but the challenge of charging schedule comes in the wake of it. In this paper, this problem is modeled as a non-cooperative game where a UAV can choose a strategy in order to maximize its payoff. Also, we have proved that the proposed game is an exact potential game (EPG) which ensures a Nash equilibrium (NE) with best-response dynamics. Numerical results show that the proposed algorithm has a larger coverage ratio and is more flexible than other algorithms in most environments; hence, a better performance.
UR - http://www.scopus.com/inward/record.url?scp=85123022506&partnerID=8YFLogxK
U2 - 10.1109/VTC2021-Fall52928.2021.9625424
DO - 10.1109/VTC2021-Fall52928.2021.9625424
M3 - Conference contribution
AN - SCOPUS:85123022506
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Y2 - 27 September 2021 through 30 September 2021
ER -