Open Access
| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 5 | |
| Section | Algorithm Study and Mathematical Application | |
| DOI | https://doi.org/10.1051/matecconf/201823203012 | |
| Published online | 19 November 2018 | |
- Benjamin S Cook Sangkil Kim, Herve Aubert. RFID-Based Sensors for Zero-Power Autonomous Wireless Sensor Networks[J]. IEEE Sensors Journal,2014, 14(8): 2419-2431. [CrossRef] [Google Scholar]
- Wenzhao WU, Wang X, Zhao K, et al. Indoor localization algorithm based on RFID technology for smart park[J]. Telecommunications Science, 2016. [Google Scholar]
- ZHOU M. The research of tag identification performance in UHF RFID system[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2013. [Google Scholar]
- Ming-Kuei Yeh, Jehn-Ruey Jiang. Parallel splittingfor RFID tag anti-collision[J]. Int J Ad Hoc and Ubiquitous Computing, 2011, 8(4): 219-260. [Google Scholar]
- SHAO Min, JIN Xiaofang, and JIN Libiao. An improved dynamic adaptive multi-tree search anti-collision algorithm based on RFID[C]. International Conference on Data Science and Advanced Analytics (DSAA), Shanghai, China, 2014: 72-75. [Google Scholar]
- Gergis L F. Performance of MC-MC CDMA Systems With Nonlinear Models of HPA[J]. ar Xiv preprint ar Xiv:1105.4379, 2011. [Google Scholar]
- Jongmin Shin, Byeongchan Jeon, Dongmin Yang. Multiple RFID tags identification with M-ary query tree scheme[J]. IEEE Communications Letters, 2013, 17(3): 601-608. [Google Scholar]
- Bai C.S., Zhu J. Research on an RFID anti-collision improved algorithm based on binary search[C]. In Proceedings of 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010, 6: 430-432. [Google Scholar]
- XUE Jianbin, WANG Wenhua, LI Songbai, et al. Anticollision algorithm based on counting mechanism and multistate binary[C]. 2013 Fifth Conference on Measuring Technology and Mechatronics Automation, Hong Kong, China, 2013: 276-282. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.