TY - JOUR
T1 - Efficient and Reliable Missing Tag Identification for Large-Scale RFID Systems with Unknown Tags
AU - Chen, Honglong
AU - Xue, Guoliang
AU - Wang, Zhibo
N1 - Funding Information:
Manuscript received November 18, 2016; revised December 27, 2016; accepted January 25, 2017. Date of publication February 6, 2017; date of current version June 15, 2017. This work was supported in part by NSFC Grant 61309023, NSF Grant 1457262, and Grant 1461886, NSFC Grant 61502352, National Basic Research Program of China Grant 2014CB340600, Shandong Provincial Key Program of Research and Development Grant 2015GGX101045, Qingdao Fundamental Research Project Grant 15-9-1-79-jch, the Fundamental Research Funds for the Central Universities of China Grant 16CX02059A, Natural Science Foundation of Hubei Province Grant 2015CFB203 and Natural Science Foundation of Jiangsu Province Grant BK20150383.
Publisher Copyright:
© 2014 IEEE.
PY - 2017/6
Y1 - 2017/6
N2 - Radio frequency identification (RFID), which promotes the rapid development of Internet of Things (IoT), has been an emerging technology and widely deployed in various applications such as warehouse management, supply chain management, and social networks. In such applications, objects can be efficiently managed by attaching them with low-cost RFID tags and carefully monitoring them. The missing objects, therefore, can be identified by the readers in the RFID system. Most of prior missing tag identification protocols consider the ideal scenario that all the tags' IDs are known to the reader, which ignore that some tags with unknown IDs, called unknown tags, may be present in the system. In this paper, we investigate the problem of efficiently identifying the missing tags with a predefined reliability for large-scale RFID systems with unknown tags. We first propose a basic efficient and reliable missing tag identification protocol called B-ERMI. Then we propose an enhanced protocol called E-ERMI to further improve the efficiency. The parameters of our proposed ERMI protocols are optimized to minimize the execution time. We also conduct extensive simulations to evaluate the proposed ERMI protocols and the simulation results illustrate that the ERMI protocols outperform other existing ones.
AB - Radio frequency identification (RFID), which promotes the rapid development of Internet of Things (IoT), has been an emerging technology and widely deployed in various applications such as warehouse management, supply chain management, and social networks. In such applications, objects can be efficiently managed by attaching them with low-cost RFID tags and carefully monitoring them. The missing objects, therefore, can be identified by the readers in the RFID system. Most of prior missing tag identification protocols consider the ideal scenario that all the tags' IDs are known to the reader, which ignore that some tags with unknown IDs, called unknown tags, may be present in the system. In this paper, we investigate the problem of efficiently identifying the missing tags with a predefined reliability for large-scale RFID systems with unknown tags. We first propose a basic efficient and reliable missing tag identification protocol called B-ERMI. Then we propose an enhanced protocol called E-ERMI to further improve the efficiency. The parameters of our proposed ERMI protocols are optimized to minimize the execution time. We also conduct extensive simulations to evaluate the proposed ERMI protocols and the simulation results illustrate that the ERMI protocols outperform other existing ones.
KW - Efficient and reliable protocols
KW - missing tag identification
KW - radio frequency identification (RFID) systems
KW - unknown tags
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U2 - 10.1109/JIOT.2017.2664810
DO - 10.1109/JIOT.2017.2664810
M3 - Article
AN - SCOPUS:85028457402
SN - 2327-4662
VL - 4
SP - 736
EP - 748
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 7843647
ER -