The method for RFID reader location based on self-adaption coverage density

被引：0
|
作者：
Wang L. [1 ,2 ]
机构：
[1] Department of Public Order, National Police University of China, Shenyang
[2] School of Economics and Management, Beihang University, Beijing
来源：
Int. J. Multimedia Ubiquitous Eng. | / 8卷 / 153-162期
关键词：
Clustering; Coverage density; RFID reader location; Self-adaptively;
D O I：
10.14257/ijmue.2016.11.8.17
中图分类号：
O211 [概率论（几率论、或然率论）];
学科分类号：
摘要：
In order to solve the problem of the RFID reader allocation, the data is generated by the particle filtering technology to use. Factors of the number of locations covered and the probabilistic distribution of object are considered, and the new method for the RFID reader allocation is proposed based on self-adaptively coverage density. The public data is used to test and verify algorithms from the Lahar project of the Washington University. Simulation experiments have been carried out on collected data, and the relevant results are compared with and the traditional algorithm, it shows that the algorithm of Self-Adaptively Coverage Density has better effectiveness. © 2016 SERSC.
引用
收藏
页码：153 / 162
页数：9
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