TY - GEN
T1 - Joint Relay Selection and Flight Path Optimization for UAV-Assisted Vehicular Delay Tolerant Networks
AU - He, Yixin
AU - Sun, Huakui
AU - Yang, Xiaobo
AU - Wang, Dawei
AU - Zhang, Ruonan
AU - Xu, Qian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper introduces the application of the unmanned aerial vehicles (UAV) into vehicular delay tolerant networks (VDTNs). In UAV-assisted VDTNs, vehicles adopt the storage-carry-forward mechanism to transmit data, and UAVs can be utilized as mobile relays. For the considered network, we investigate the data transmission problem by jointly considering the relay selection and flight path optimization. We formulate a multi-objective optimization problem, which composes of two parts: a) the transmission delay; b) the flight path cost. Due to the intractability of the formulated NP-hard problem, we design a heuristic algorithm to solve it. Specifically, according to the encounter probability, we present a relay selection scheme, which can limit the maximum number of hops and copies. Then, by considering the flight path cost, we present a flight path optimization scheme based on the improved particle swarm optimization algorithm. Finally, the numerical results show that compared with the current works, our proposed data transmission strategy significantly reduces the transmission delay and the flight path cost.
AB - This paper introduces the application of the unmanned aerial vehicles (UAV) into vehicular delay tolerant networks (VDTNs). In UAV-assisted VDTNs, vehicles adopt the storage-carry-forward mechanism to transmit data, and UAVs can be utilized as mobile relays. For the considered network, we investigate the data transmission problem by jointly considering the relay selection and flight path optimization. We formulate a multi-objective optimization problem, which composes of two parts: a) the transmission delay; b) the flight path cost. Due to the intractability of the formulated NP-hard problem, we design a heuristic algorithm to solve it. Specifically, according to the encounter probability, we present a relay selection scheme, which can limit the maximum number of hops and copies. Then, by considering the flight path cost, we present a flight path optimization scheme based on the improved particle swarm optimization algorithm. Finally, the numerical results show that compared with the current works, our proposed data transmission strategy significantly reduces the transmission delay and the flight path cost.
KW - Flight path optimization
KW - relay selection
KW - UAV
KW - VDTNs
UR - http://www.scopus.com/inward/record.url?scp=85143045895&partnerID=8YFLogxK
U2 - 10.1109/CCPQT56151.2022.00013
DO - 10.1109/CCPQT56151.2022.00013
M3 - 会议稿件
AN - SCOPUS:85143045895
T3 - Proceedings - 2022 International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2022
SP - 38
EP - 43
BT - Proceedings - 2022 International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2022
Y2 - 4 December 2023 through 30 October 2022
ER -