Global Optimization of Wireless Seismic Sensor Network Based on the Kriging Model and Improved Particle Swarm Optimization Algorithm

被引：9

作者：

Tong, Xunqian ^{[1
]}

Lin, Jun ^{[1
]}

Ji, Yanju ^{[1
]}

Zhang, Guanyu ^{[1
]}

Xing, Xuefeng ^{[1
]}

机构：

[1] Jilin Univ, Coll Instrumentat & Elect Engn, Changchun, Jilin, Peoples R China

来源：

WIRELESS PERSONAL COMMUNICATIONS | 2017年 / 95卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

Kriging; Improved particle swarm optimization; Global Optimization; Wireless seismic data transmission; NEURAL-NETWORK;

D O I：

10.1007/s11277-017-4051-4

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This study established the Kriging model to simplify the mathematical model for calculations and to improve the operational efficiency of global optimization in seismic exploration engineering. Accordingly, wireless seismic sensor network (WSSN) was used as an example in this research, and the generated seismic data flow rate and the flow rate of seismic data transmission are the simulation sample points. Thereafter, the Kriging model was constructed and the function was fitted. An improved particle swarm optimization (PSO) was also utilized for the global optimization of the Kriging model of WSSN to determine the optimized network lifetime. Results show that the Kriging model and the improved PSO algorithm significantly enhanced the lift performance and computer operational efficiency of WSSN.

引用

下载

页码：2203 / 2222

页数：20

共 50 条

[1] Global Optimization of Wireless Seismic Sensor Network Based on the Kriging Model and Improved Particle Swarm Optimization Algorithm
Xunqian Tong
Jun Lin
Yanju Ji
Guanyu Zhang
Xuefeng Xing
Wireless Personal Communications, 2017, 95 : 2203 - 2222
[2] Research on Wireless Sensor Network Coverage Based on Improved Particle Swarm Optimization Algorithm
Li Changxing
Zhang Long-yao
Qing, Zhang
2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA), 2017, : 305 - 311
[3] Global optimization for ducted coaxial-rotors aircraft based on Kriging model and improved particle swarm optimization algorithm
Lu-hong Yang
Shun-an Liu
Guan-yu Zhang
Chun-xue Wang
Journal of Central South University, 2015, 22 : 1315 - 1323
[4] Global optimization for ducted coaxial-rotors aircraft based on Kriging model and improved particle swarm optimization algorithm
杨璐鸿
刘顺安
张冠宇
王春雪
Journal of Central South University, 2015, 22 (04) : 1315 - 1323
[5] Global optimization for ducted coaxial-rotors aircraft based on Kriging model and improved particle swarm optimization algorithm
Yang Lu-hong
Liu Shun-an
Zhang Guan-yu
Wang Chun-xue
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2015, 22 (04) : 1315 - 1323
[6] Optimization of dividing wall columns based on online Kriging model and improved particle swarm optimization algorithm
Liang, Mengkun
Song, Jiayin
Zhao, Kefan
Jia, Shengkun
Qian, Xing
Yuan, Xigang
COMPUTERS & CHEMICAL ENGINEERING, 2022, 166
[7] Global optimization for cross-domain aircraft based on kriging model and particle swarm optimization algorithm
Chen, Y-L
Qin, J-C
Sun, H-P
Shang, T.
Zhang, X-G
Hu, Y.
SCIENTIA IRANICA, 2021, 28 (01) : 209 - 222
[8] Routing optimization for wireless sensor network based on cloud adaptive particle swarm optimization algorithm
Bao, Xu
Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (11): : 6484 - 6409
[9] A Wireless Sensor Network Coverage Optimization Algorithm Based on Particle Swarm Optimization and Voronoi Diagram
Ab Aziz, Nor Azlina Bt.
Mohemmed, Ammar W.
Alias, Mohammad Yusoff
2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 2009, : 596 - +
[10] Wireless sensor network localization algorithm based on improved quantum-behaved particle swarm optimization algorithm
College of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China
J. Comput. Inf. Syst., 20 (7563-7572):

← 1 2 3 4 5 →