Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yexian Fan"'
Publikováno v:
Intelligent and Converged Networks, Vol 1, Iss 3, Pp 258-270 (2020)
The video transmission in the Internet-of-Things (IoT) system must guarantee the video quality and reduce the packet loss rate and the delay with limited resources to satisfy the requirement of multimedia services. In this paper, we propose a reinfor
Externí odkaz:
https://doaj.org/article/96b58880a2984bcca9720013a9839e61
Publikováno v:
Applied Sciences, Vol 9, Iss 7, p 1479 (2019)
The self-deployment of nodes with non-uniform coverage in underwater acoustic sensor networks (UASNs) is challenging because it is difficult to access the three-dimensional underwater environment. The problem is further complicated if network connect
Externí odkaz:
https://doaj.org/article/f702fbacb5e84f3f9f60d3f288379ec3
Publikováno v:
Applied Sciences, Vol 8, Iss 9, p 1638 (2018)
In open and complex underwater environments, targets to be monitored are highly dynamic and exhibit great uncertainty. To optimize monitoring target coverage, the development of a method for adjusting sensor positions based on environments and target
Externí odkaz:
https://doaj.org/article/981c8a61545b4204910c08211c57d461
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-12
To solve the problems of poor quality of service and low energy efficiency of nodes in underwater multinode communication networks, a distributed power allocation algorithm based on reinforcement learning is proposed. The transmitter with reinforceme
Publikováno v:
Intelligent and Converged Networks. 1:258-270
Publikováno v:
2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT).
Publikováno v:
Applied Sciences, Vol 9, Iss 7, p 1479 (2019)
Applied Sciences
Volume 9
Issue 7
Applied Sciences
Volume 9
Issue 7
The self-deployment of nodes with non-uniform coverage in underwater acoustic sensor networks (UASNs) is challenging because it is difficult to access the three-dimensional underwater environment. The problem is further complicated if network connect
Publikováno v:
2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).
This paper proposes a game strategy of anti-jamming power control-based Dyna-Q reinforcement learning to counter the smart jamming attacks suffered by the periodic beacons in Vehicular ad-hoc networks(VANETs) platoon. Simulation results indicate that
Publikováno v:
Sensors and Materials. 31:845
Publikováno v:
Applied Sciences, Vol 8, Iss 9, p 1638 (2018)
Applied Sciences
Volume 8
Issue 9
Applied Sciences
Volume 8
Issue 9
In open and complex underwater environments, targets to be monitored are highly dynamic and exhibit great uncertainty. To optimize monitoring target coverage, the development of a method for adjusting sensor positions based on environments and target