DocumentCode
246605
Title
On RFID Network Topology Design for Internet of Things
Author
Po-Jen Chuang ; Wei-Ting Tsai
Author_Institution
Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
fYear
2014
fDate
20-23 Dec. 2014
Firstpage
25
Lastpage
28
Abstract
This paper introduces a new optimization-based IGAA approach to pursue a better RFID topology design with more favorable reader deployment and system performance. The new approach adopts an advanced multi-objective fitness function and improved genetic annealing algorithms (GAA) to enhance and outperform existing RFID topology designs. The operation is simple and effective: Involving a gene-stirring operation to help preserve good genes and locate optimal solutions for reader deployment. Experimental evaluation shows that when compared with related approaches, IGAA can yield better solution quality with less search time.
Keywords
Internet of Things; genetic algorithms; radiofrequency identification; simulated annealing; telecommunication network topology; Internet of Things; RFID network topology design; advanced multiobjective fitness function; gene-stirring operation; improved genetic annealing algorithms; optimization-based IGAA approach; Algorithm design and analysis; Annealing; Genetic algorithms; Genetics; Network topology; Radiofrequency identification; Topology; Genetic Annealing Algorithms; RFID networks; experimental evaluation; optimization-based approaches; topology design;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Generation Communication and Networking (FGCN), 2014 8th International Conference on
Conference_Location
Haikou
Print_ISBN
978-1-4799-7779-6
Type
conf
DOI
10.1109/FGCN.2014.13
Filename
7024335
Link To Document