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
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;
Conference_Titel :
Future Generation Communication and Networking (FGCN), 2014 8th International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-1-4799-7779-6
DOI :
10.1109/FGCN.2014.13