DocumentCode :
239034
Title :
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
Link To Document :
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