Study on Relay Selection Algorithm Based on SWIPT Wireless Cooperative Network

Authors

Qun Fang, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Xukai Chen, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
He Xin, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Yujun Zhu, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Yiyang Liu, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Yangyang Fang, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Heju Li, 1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;

Abstract

Abstract: Although the wireless cooperative networks (WCN) significantly improve the communication quality and network throughput of wireless communications. However, it still faces the challenge of the network lifetime and the energy replenishment due to the energy limitation of relay nodes. In order to tackle this challenge, A multi-relay wireless cooperative network combined with the simultaneous wireless information and power transfer (SWIPT) is proposed and the theoretical performance under the Nakagami-m assumption is analyzed. The selection of the optimal relay node for wireless cooperative networks in the framework of the proposed system is studied. The outage probability of the system under different optimal relay selection strategies is obtained, and its correctness is verified by Monte Carlo simulations. The factors that affect the system outage probability are analyzed through a series of simulations. Furthermore, the feedforward neural network (FNN) machine learning algorithm is used to optimize the selection of relay nodes. The experimental results show that: the accuracy of selecting the optimal relay selection is around 93%.

Recommended Citation

Fang, Qun; Chen, Xukai; Xin, He; Zhu, Yujun; Liu, Yiyang; Fang, Yangyang; and Li, Heju (2021) "Study on Relay Selection Algorithm Based on SWIPT Wireless Cooperative Network," Journal of System Simulation: Vol. 33: Iss. 4, Article 6.
DOI: 10.16182/j.issn1004731x.joss.20-0518
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss4/6

First Page

801

Revised Date

2020-09-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0518

Last Page

808

CLC

TN925+.3;TP391

Recommended Citation

Fang Qun, Chen Xukai, He Xin, Zhu Yujun, Liu Yiyang, Fang Yangyang, Li Heju. Study on Relay Selection Algorithm Based on SWIPT Wireless Cooperative Network[J]. Journal of System Simulation, 2021, 33(4): 801-808.

DOI

10.16182/j.issn1004731x.joss.20-0518