A Novel Middleware-based Model for Redundant Reader Elimination using Genetic Algorithm

被引:0
|
作者
Lu, Shilei [1 ]
Yu, Shunzheng [1 ]
机构
[1] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China
关键词
Radio Frequency Identification (RFID); Middleware; Redundant Reader Elimination; Genetic Algorithm (GA);
D O I
10.4028/www.scientific.net/AMM.411-414.881
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Eliminating redundant readers is important for the performance improvement of the radio frequency identification (RFID) networks. This paper proposes an efficient approach for redundant reader elimination. A middleware-based model, which is formulated as a multi-dimensional optimization problem, is developed to evaluate the network performance. The real-coded genetic algorithm (RGA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.
引用
收藏
页码:881 / 885
页数:5
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