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.
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页码：2203 / 2222
页数：20
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