DocumentCode
695475
Title
Promptly pinpointing mobile RFID tags for large-scale Internet-of-Things
Author
Taekyung Kim ; Chenglong Shao ; Wonjun Lee
Author_Institution
Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea
fYear
2015
fDate
9-11 Feb. 2015
Firstpage
118
Lastpage
123
Abstract
In recent years, RFID has increasingly been found in our daily life with various applications such as Internet of Things (IoT) and wireless sensor networks. However, considering a large-scale RFID system, collisions occur when multiple tags transmit signals to RFID reader simultaneously, thereby we observe significant degradation of the efficiency of these applications. Besides, in practice, since tags may move into or out of the transmission range of an RFID reader, three different types of tags coexist: dwelling tags, arriving tags, and leaving tags. In this context, it is necessary to design a novel anti-collision protocol which can distinguish them to achieve efficient tag identification. Nevertheless, we observe that existing protocols fail in fully utilizing the differences of the three types of tags. Therefore, this paper proposes a novel protocol, Durable Tree Slotted ALOHA-based protocol (DTSA), to further improve the efficiency obtained in the literature. In general, DTSA distinguishes the three types of tags based on the obtained information from the last identification process. Moreover, DTSA promptly resolves the collisions for the arriving tags and identifies the dwelling tags one-by-one without any collisions. Evaluation results justify that DTSA is more efficient than state-of-the-art protocols.
Keywords
Internet of Things; access protocols; mobile radio; radiofrequency identification; telecommunication congestion control; trees (mathematics); DTSA protocol; anticollision protocol; arriving tags; durable tree slotted ALOHA protocol; dwelling tag identification; large-scale Internet of Things; leaving tags; promptly pinpointing mobile RFID tag reader; radio frequency identification; Algorithm design and analysis; Binary trees; Context; Mobile communication; Protocols; Radiation detectors; Radiofrequency identification; Internet of Things (IoT); algorithm; mobile RFID;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data and Smart Computing (BigComp), 2015 International Conference on
Conference_Location
Jeju
Type
conf
DOI
10.1109/35021BIGCOMP.2015.7072820
Filename
7072820
Link To Document