Fast Tracking the Population of Key Tags in Large-Scale Anonymous RFID Systems

Abstract

In large-scale RFID-enabled applications, we sometimes only pay attention to a small set of key tags, instead of all. This paper studies the problem of key tag population tracking, which aims at estimating how many key tags in a given set exist in the current RFID system and how many of them are absent. Previous work is slow to solve this problem due to the serious interference replies from a large number of ordinary (i.e., non-key) tags. However, time-efficiency is a crucial metric to the studied key tag tracking problem. In this paper, we propose a singleton slot-based estimator, which is time-efficient because the RFID reader only needs to observe the status change of expected singleton slots corresponding to key tags instead of the whole time frame. In practice, the ratio of key tags to all current tags is small because "key" members are usually rare. As a result, even when the whole time frame is long, the number of expected singleton slots is limited and the running of our protocol is very fast. To obtain good scalability in large-scale RFID systems, we exploit the sampling idea in the estimation process. Rigorous theoretical analysis shows that the proposed protocol can provide guaranteed estimation accuracy to end users. Extensive simulation results demonstrate that our scheme outperforms the prior protocols by significantly reducing the time cost.

Knowledge mapping of supply chain risk research based on CiteSpace

“…CiteSpace can automatically extract the keywords of citing literature to generate cluster words, which can be used to summarize the aggregation points of research; moreover, each cluster can be regarded as a closely connected, although independent, research field. 32 Figure 6 illustrates a keyword cluster graph of supply chain risk drawn by using CiteSpace. The selection criteria were set at Top N% = 50%.…”

Wearable Metasurface-Enabled Quasi-Yagi Antenna for UHF RFID Reader With End-Fire Radiation Along the Forearm

“…During the past two decades, the versatile passive ultra-high frequency radio-frequency identification technology (UHF RFID) has been researched and developed for numerous applications that extend beyond identification to applications such as wireless sensing [1]- [5] and RFID based real-time localization and tracking of assets [6]- [10]. Most recently, RFID technology has been found a compelling approach to wireless body area systems [11]- [15] where it can be utilized, for instance, in wireless health applications [16]- [21].…”

Fall Detection and 3-D Indoor Localization by a Custom RFID Reader Embedded in a Smart e-Health Platform

“…It is worth mentioning that positioning solutions relying on untagged objects/people are available, too, based on radar technology [4]- [6], but they do not ensure the sensitivity of tagged solutions, as required by the present project for true fall detection. Several applications of Indoor Positioning System (IPS) based on RFID have been recently proposed to localize patients [7], [8], to detect movements of human body segments [9] and for other smart healthcare applications [10]- [12]. Combination with pan-tilt zoom cameras or accelerometers [13] have also been demonstrated.…”