西南交通大学学报
V01.5l
No.4
第5l卷第4期
2016年8月
OF SOUTHWEST
UNIVERSITY
JIAOTONG
JOURNAL
Aug.2016
文章编号:0258-2724(2016)04-0776-09
DOI:10.3969/j.issn.0258-2724.2016.04.024
自适应高斯遍历和声搜索物联网
射频识别均衡优化
权华3
唐
(1.西南交通大学信息科学与技术学院,四川成都610031;2 西南科技大学计算机科学与技术学院,13tljI绵
陈立伟1’2,
阳621010;3.江西师范大学软件学院,江西南昌330022)
摘要:针对物联网射频识别过程中存在的数据量过大、传统算法计算复杂度较高和识别准确率较低的问题,
traversal and
search
提出了自适应高斯遍历和声搜索(Gauss
harmony
algorithm,GTHS)物联网射频识别优化算
法.首先,基于和声搜索算法进行网络优化设计,针对标准HS在优化精度和计算复杂度等方面存在的问题,利
用高斯函数的遍历特性对算法即兴创作过程引入控制参数,提高前后期搜索的针对性,并给出参数选取的理论
分析;其次,对物联网射频识别优化模型进行研究,提出改进的自适应优化目标,实现性能指标的均衡优化;最
后,将该算法与RPSOAS、CDE以及C—MC算法进行了实验对比分析,结果表明,所提GTHS算法在区域大小为
1
000 in
x
1
000
identification
m、标签数量为100 000的大型物联网RFID(radio frequency
network)实验对象中,
收敛精度为7.215 6,收敛精度提高29.6%以上.
关键词:物联网;射频识别;物流;高斯遍历;和声搜索;白适应
中图分类号:TPl8
文献标志码:A
of Radio
Identification with
Frequency
Adaptive
Optimization
and
Search Networkin Internet of
Gauss Traversal
Harmony
Things
CHEN Liwei
1一,TANG
Quanhua3
of Information Science and
Science and
(1.School
610031,China;2.School
Technology,Southwest Jiaotong University,Chengdu
of
Science and
Technology University,Mianyang 621010,China;
Computer
Technology,Southwest
3.School of
Normal
330022,China)
University,Nanchang
Software,Jangxi
in the radio
of lower
identification
handle the
amount of data and
overcome the
Abstract:To
large
complexity
frequency
of the Intemet of
in the traditional
and
process
things,and
disadvantages
complexity
recognition
was
to achieve the
search network
accuracy
of radio
algorithms,an algorithm
proposed
adaptive optimization
in
of
intemet
identification with Gauss traversal and
frequency
harmony
things.
of the
order to solve
search
wasused to
the
design
network.In
First,the harmony
algorithm
optimize
of
the
of the low
and
high computational complexity,the ergodicity
problems
optimizing accuracy
in the
of the
for
Gaussian function was
to
control
introducing parameter
improvisation
applied
the
process
for different evolution theoretical
periods.The
analysis
algorithm,which improves
selection was
pertinence
as
model of the radio
frequency
objective
parameter
presented
well.Secondly,the optimization
the
identification for the Internet of
was
studied,and
adaptive
optimization
things
improved
of the
was
to achieve the
index.Finally,the proposed
the RFID
proposed
was
equilibrium optimization
performance
with the
and C-MC
that,in
algorithm,showing
RPSOAS,CDE
algorithm
compared
2015-06-08
收稿日期:
基金项目:
国家科技支撑计划资助项目(2012BAH20F01);四川省科技厅课题(2014GZX0009)
作者简介: 陈立伟(1974一),男,副教授,博士研究生,研究方向为信息处理、智能优化、射频网络识别,E-mail:chenleewei@163.com
引文格式: 陈立伟,唐权华.自适应高斯遍历和声搜索物联网射频识别均衡优化[J].西南交通大学学报,2016,51(4):776-784.
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