There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition.
Published in | Internet of Things and Cloud Computing (Volume 3, Issue 4) |
DOI | 10.11648/j.iotcc.20150304.11 |
Page(s) | 82-87 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
RFID, Area Localization, ALLGET, LANDMARC
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APA Style
Yaoqi Du, Zhiying Yang. (2015). An Area Localization Algorithm Using RFID. Internet of Things and Cloud Computing, 3(4), 82-87. https://doi.org/10.11648/j.iotcc.20150304.11
ACS Style
Yaoqi Du; Zhiying Yang. An Area Localization Algorithm Using RFID. Internet Things Cloud Comput. 2015, 3(4), 82-87. doi: 10.11648/j.iotcc.20150304.11
AMA Style
Yaoqi Du, Zhiying Yang. An Area Localization Algorithm Using RFID. Internet Things Cloud Comput. 2015;3(4):82-87. doi: 10.11648/j.iotcc.20150304.11
@article{10.11648/j.iotcc.20150304.11, author = {Yaoqi Du and Zhiying Yang}, title = {An Area Localization Algorithm Using RFID}, journal = {Internet of Things and Cloud Computing}, volume = {3}, number = {4}, pages = {82-87}, doi = {10.11648/j.iotcc.20150304.11}, url = {https://doi.org/10.11648/j.iotcc.20150304.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20150304.11}, abstract = {There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition.}, year = {2015} }
TY - JOUR T1 - An Area Localization Algorithm Using RFID AU - Yaoqi Du AU - Zhiying Yang Y1 - 2015/11/03 PY - 2015 N1 - https://doi.org/10.11648/j.iotcc.20150304.11 DO - 10.11648/j.iotcc.20150304.11 T2 - Internet of Things and Cloud Computing JF - Internet of Things and Cloud Computing JO - Internet of Things and Cloud Computing SP - 82 EP - 87 PB - Science Publishing Group SN - 2376-7731 UR - https://doi.org/10.11648/j.iotcc.20150304.11 AB - There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition. VL - 3 IS - 4 ER -