A RFID network design methodology for decision problem in health care

Author

Chun-Hua Chou ; Chia-Ling Huang ; Po-Chun Chang

Author_Institution

Dept. of Ind. Eng., & Eng. Manage., Nat. TsingHua Univ., Hsinchu, Taiwan

fYear

2014

fDate

6-11 July 2014

Firstpage

1586

Lastpage

1592

Abstract

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.

Keywords

ART neural nets; biomedical communication; decision making; fuzzy set theory; optimisation; pattern classification; radiofrequency identification; swarm intelligence; K-means models; RFID network design methodology; RFID network planning; RNP; SSO; coverage rate; decision makers; decision problem; fuzzy-ART; health care; radio frequency identification; simplified swarm optimization algorithm; soft computing technique; Hospitals; Particle swarm optimization; RFID tags; Subspace constraints; Vectors; Fuzzy-ART; K-means; MCLP; RFID; SSO; binary search; network design; soft-computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2014 IEEE Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4799-6626-4

Type

conf

DOI

10.1109/CEC.2014.6900452

Filename

6900452