Managing RFID Data: Challenges, Opportunities and Solutions

被引:61
|
作者
Xie, Lei [1 ]
Yin, Yafeng [1 ]
Vasilakos, Athanasios V. [2 ]
Lu, Sanglu [1 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China
[2] Univ Western Macedonia, Kozani, Greece
来源
基金
中国国家自然科学基金;
关键词
RFID; data management; anti-collision algorithms; authentication and privacy protection; localization and activity sensing; performance evaluation; ALGORITHM;
D O I
10.1109/SURV.2014.022614.00143
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The advances of Radio-Frequency Identification (RFID) technology have significantly enhanced the capability of capturing data from pervasive space. It becomes a great challenge in the information era to effectively understand human behavior, mobility and activity through the perceived RFID data. Focusing on RFID data management, this article provides an overview of current challenges, emerging opportunities and recent progresses in RFID. In particular, this article has described and analyzed the research work on three aspects: algorithm, protocol and performance evaluation. We investigate the research progress in RFID with anti-collision algorithms, authentication and privacy protection protocols, localization and activity sensing, as well as performance tuning in realistic settings. We emphasize the basic principles of RFID data management to understand the state-of-the-art and to address directions of future research in RFID.
引用
收藏
页码:1294 / 1311
页数:18
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