IEICE TRANSACTIONS on Fundamentals
Stochastic Channel Selection for UAV-Aided Data Collection
Summary :
We investigate the uplink channel selection problem of unmanned aerial vehicle (UAV)-aided data collection system in delay-sensitive sensor networks. In the studied model, the fixed-wing UAV is dispatched to gather sensing information from terrestrial sensor nodes (SNs) and they contend for uplink channels for transmission. With the goal of minimizing the system-wide delay, we formulate a resource allocation problem. Encountered with the challenge that the flight trajectory of UAV is unknown to SNs and the wireless channel is time-varying, we solve the problem by stochastic game approach and further propose a fully distributed channel selection algorithm which is proved to converge to a pure strategy Nash Equilibrium (NE). Simulation results are presented to show that our proposed algorithm has good performance.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.3 pp.598-603
- Publication Date
- 2019/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E102.A.598
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Tianyu LU
Nanjing University of Posts and Telecommunications
Haibo DAI
Nanjing University of Posts and Telecommunications
Juan ZHAO
Nanjing University of Posts and Telecommunications
Baoyun WANG
Nanjing University of Posts and Telecommunications
Keyword
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Tianyu LU, Haibo DAI, Juan ZHAO, Baoyun WANG, "Stochastic Channel Selection for UAV-Aided Data Collection" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 3, pp. 598-603, March 2019, doi: 10.1587/transfun.E102.A.598.
Abstract: We investigate the uplink channel selection problem of unmanned aerial vehicle (UAV)-aided data collection system in delay-sensitive sensor networks. In the studied model, the fixed-wing UAV is dispatched to gather sensing information from terrestrial sensor nodes (SNs) and they contend for uplink channels for transmission. With the goal of minimizing the system-wide delay, we formulate a resource allocation problem. Encountered with the challenge that the flight trajectory of UAV is unknown to SNs and the wireless channel is time-varying, we solve the problem by stochastic game approach and further propose a fully distributed channel selection algorithm which is proved to converge to a pure strategy Nash Equilibrium (NE). Simulation results are presented to show that our proposed algorithm has good performance.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.598/_p
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@ARTICLE{e102-a_3_598,
author={Tianyu LU, Haibo DAI, Juan ZHAO, Baoyun WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Stochastic Channel Selection for UAV-Aided Data Collection},
year={2019},
volume={E102-A},
number={3},
pages={598-603},
abstract={We investigate the uplink channel selection problem of unmanned aerial vehicle (UAV)-aided data collection system in delay-sensitive sensor networks. In the studied model, the fixed-wing UAV is dispatched to gather sensing information from terrestrial sensor nodes (SNs) and they contend for uplink channels for transmission. With the goal of minimizing the system-wide delay, we formulate a resource allocation problem. Encountered with the challenge that the flight trajectory of UAV is unknown to SNs and the wireless channel is time-varying, we solve the problem by stochastic game approach and further propose a fully distributed channel selection algorithm which is proved to converge to a pure strategy Nash Equilibrium (NE). Simulation results are presented to show that our proposed algorithm has good performance.},
keywords={},
doi={10.1587/transfun.E102.A.598},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Stochastic Channel Selection for UAV-Aided Data Collection
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 598
EP - 603
AU - Tianyu LU
AU - Haibo DAI
AU - Juan ZHAO
AU - Baoyun WANG
PY - 2019
DO - 10.1587/transfun.E102.A.598
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2019
AB - We investigate the uplink channel selection problem of unmanned aerial vehicle (UAV)-aided data collection system in delay-sensitive sensor networks. In the studied model, the fixed-wing UAV is dispatched to gather sensing information from terrestrial sensor nodes (SNs) and they contend for uplink channels for transmission. With the goal of minimizing the system-wide delay, we formulate a resource allocation problem. Encountered with the challenge that the flight trajectory of UAV is unknown to SNs and the wireless channel is time-varying, we solve the problem by stochastic game approach and further propose a fully distributed channel selection algorithm which is proved to converge to a pure strategy Nash Equilibrium (NE). Simulation results are presented to show that our proposed algorithm has good performance.
ER -
English
