In the large-scale multi-UAV systems, the direct link may be invalid for two remote nodes on account of the constrained power or complex communication environment. Idle UAVs may work as relays between the sources and destinations to enhance communication quality. In this letter, we investigate the opportunistic relay selection for the UAVs dynamic network. On account of the time-varying channel states and the variable numbers of sources and relays, relay selection becomes much more difficult. In addition, information exchange among all nodes may bring much cost and it is difficult to implement in practice. Thus, we propose a decentralized relay selection approach based on mood-driven mechanism to combat the dynamic characteristics, aiming to maximize the total capacity of the network without information exchange. With the proposed approach, the sources can make decisions only according to their own current states and update states according to immediate rewards. Numerical results show that the proposed approach has attractive properties.
Xijian ZHONG
Army Engineering University of PLA
Yan GUO
Army Engineering University of PLA
Ning LI
Army Engineering University of PLA
Shanling LI
Army Engineering University of PLA
Aihong LU
Army Engineering University of PLA
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Xijian ZHONG, Yan GUO, Ning LI, Shanling LI, Aihong LU, "Decentralized Relay Selection for Large-Scale Dynamic UAVs Networks: A Mood-Driven Approach" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 12, pp. 2031-2036, December 2019, doi: 10.1587/transfun.E102.A.2031.
Abstract: In the large-scale multi-UAV systems, the direct link may be invalid for two remote nodes on account of the constrained power or complex communication environment. Idle UAVs may work as relays between the sources and destinations to enhance communication quality. In this letter, we investigate the opportunistic relay selection for the UAVs dynamic network. On account of the time-varying channel states and the variable numbers of sources and relays, relay selection becomes much more difficult. In addition, information exchange among all nodes may bring much cost and it is difficult to implement in practice. Thus, we propose a decentralized relay selection approach based on mood-driven mechanism to combat the dynamic characteristics, aiming to maximize the total capacity of the network without information exchange. With the proposed approach, the sources can make decisions only according to their own current states and update states according to immediate rewards. Numerical results show that the proposed approach has attractive properties.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.2031/_p
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@ARTICLE{e102-a_12_2031,
author={Xijian ZHONG, Yan GUO, Ning LI, Shanling LI, Aihong LU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Decentralized Relay Selection for Large-Scale Dynamic UAVs Networks: A Mood-Driven Approach},
year={2019},
volume={E102-A},
number={12},
pages={2031-2036},
abstract={In the large-scale multi-UAV systems, the direct link may be invalid for two remote nodes on account of the constrained power or complex communication environment. Idle UAVs may work as relays between the sources and destinations to enhance communication quality. In this letter, we investigate the opportunistic relay selection for the UAVs dynamic network. On account of the time-varying channel states and the variable numbers of sources and relays, relay selection becomes much more difficult. In addition, information exchange among all nodes may bring much cost and it is difficult to implement in practice. Thus, we propose a decentralized relay selection approach based on mood-driven mechanism to combat the dynamic characteristics, aiming to maximize the total capacity of the network without information exchange. With the proposed approach, the sources can make decisions only according to their own current states and update states according to immediate rewards. Numerical results show that the proposed approach has attractive properties.},
keywords={},
doi={10.1587/transfun.E102.A.2031},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Decentralized Relay Selection for Large-Scale Dynamic UAVs Networks: A Mood-Driven Approach
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2031
EP - 2036
AU - Xijian ZHONG
AU - Yan GUO
AU - Ning LI
AU - Shanling LI
AU - Aihong LU
PY - 2019
DO - 10.1587/transfun.E102.A.2031
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2019
AB - In the large-scale multi-UAV systems, the direct link may be invalid for two remote nodes on account of the constrained power or complex communication environment. Idle UAVs may work as relays between the sources and destinations to enhance communication quality. In this letter, we investigate the opportunistic relay selection for the UAVs dynamic network. On account of the time-varying channel states and the variable numbers of sources and relays, relay selection becomes much more difficult. In addition, information exchange among all nodes may bring much cost and it is difficult to implement in practice. Thus, we propose a decentralized relay selection approach based on mood-driven mechanism to combat the dynamic characteristics, aiming to maximize the total capacity of the network without information exchange. With the proposed approach, the sources can make decisions only according to their own current states and update states according to immediate rewards. Numerical results show that the proposed approach has attractive properties.
ER -