A RFID Network Design Methodology for Decision Problem in Health Care

被引:0
|
作者
Chou, Chun-Hua [1 ]
Huang, Chia-Ling [2 ]
Chang, Po-Chun [3 ]
机构
[1] Natl TsingHua Univ, Dept Ind Engn & Engn Management, Hsinchu, Taiwan
[2] Kainan Univ, Dept Logist & Shipping Management, Taoyuan, Taiwan
[3] Univ Technol Sydney, Adv Analyt Inst, Sydney, NSW 2007, Australia
关键词
MCLP; soft-computing; SSO; Fuzzy-ART; K-means; RFID; binary search; network design;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This research extends our previous work on decision makers with methodology to optimize the design of a strategy for constructing Radio Frequency Identification (RFID). RFID technology is an automatic identification system through radio frequency for transferring data. Before deploying RFID system, one of the challenging problems is RFID network planning (RNP). The RNP problem must be solved to operate the large-scale network of readers, and need to satisfy a set of requires, such as coverage rate, economic, interference. This paper extends our previous work using soft computing technique to find the optimal positions of RFID readers based on Simplified Swarm Optimization (SSO) algorithm. Meanwhile, the fuzzy-ART and K-means models are applied to efficiently and effectively search better solutions
引用
收藏
页码:1586 / 1592
页数:7
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