教師資料查詢 | 類別: 期刊論文 | 教師: 李維聰 Wei-tsong Lee (瀏覽個人網頁)

標題:A GA-based mobile RFID localization scheme for internet of things
學年99
學期2
出版(發表)日期2011/03/01
作品名稱A GA-based mobile RFID localization scheme for internet of things
作品名稱(其他語言)
著者Wu, Tin-Yu; Liaw, Guan-Hsiung; Huang, Sing-Wei; Lee, Wei-Tsong; Wu, Chung-Chi
單位淡江大學電機工程學系
出版者Guildford: Springer U K
著錄名稱、卷期、頁數Personal and Ubiquitous Computing 16(3), pp.245-258
摘要In the current (Internet of Things) trend, the identification capability of RFID is integrated for the identification and applications of all objects, and this trend reveals the future demand for RFID wireless communication and localization. Therefore, this paper investigates the influences of RSSI and the distance to RFID and analyzes the common indoor localization algorithms, including range-based algorithms and range-free algorithms. However, there are too many interference factors in the indoor environment that easily lead to localization inaccuracy. To improve the RF-mapping technique in RFID that requires much time for initiation and lots of calculations, this paper proposes a GA-based (Genetic Algorithms, GA) localization algorithm to estimate the locations of unknown nodes and avoid the influence of environmental factors by pre-establishing the pattern. The designed scenarios and reference nodes in this paper are used to train our proposed algorithm and obtain the patents of the scenarios, which are adopted for RFID nodes to further compare and decrease errors. Therefore, as long as the algorithm is trained in advance with the scenarios and then include the patents in the new environment, the errors and the training time can be greatly reduced. Moreover, our proposed algorithm needs only little information about reference nodes to pre-establish the pattern.
關鍵字IOT; RF-mapping; Indoor localization; Genetic algorithms
語言英文
ISSN1617-4909
期刊性質國外
收錄於SCI
產學合作
通訊作者Wu, Tin-Yu; Liaw, Guan-Hsiung; Huang, Sing-Wei; Lee, Wei-Tsong; Wu, Chung-Chi
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
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