Behavior-Based Cleaning for Unreliable RFID Data Sets

Abstract

Radio Frequency IDentification (RFID) technology promises to revolutionize the way we track items and assets, but in RFID systems, missreading is a common phenomenon and it poses an enormous challenge to RFID data management, so accurate data cleaning becomes an essential task for the successful deployment of systems. In this paper, we present the design and development of a RFID data cleaning system, the first declarative, behavior-based unreliable RFID data smoothing system. We take advantage of kinematic characteristics of tags to assist in RFID data cleaning. In order to establish the conversion relationship between RFID data and kinematic parameters of the tags, we propose a movement behavior detection model. Moreover, a Reverse Order Filling Mechanism is proposed to ensure a more complete access to get the movement behavior characteristics of tag. Finally, we validate our solution with a common RFID application and demonstrate the advantages of our approach through extensive simulations.

BBS: An effective approach for RFID data cleaning

“…So we can establish the conversion relationship between RFID data and kinematic parameters of tags. The related research introduced in detail in our previous article [11]. As shown in Figure 1, there is a linear relationship between reade rate and distance(between tag and reader), and it can be abstracted as shown in Figure 2.…”

“…Therefore, the movement through the detection region for persons, vehicles and goods on the conveyor belt and other tagged items can be approximately considered as uniform linear motion. In our previous study [11], we assume the movement of the tag is uniform linear motion that through the center of the detection area, as trajectory A in Figure 3(a). However, in some situations, this assumption may not be tenable, as the trajectory B and C in Figure 3(a).…”

“…The results from directly treating the raw data may differ from the actual movement characteristics. The same as our previous methods [11], a weighted moving average approach is also used to smooth the initial read rate sequences.…”

“…Gonzalez et al [10] proposed a cleaning framework that takes an RFID data set and a collection of cleaning methods, with associated costs, and induces a cleaning plan that optimizes the overall accuracy adjusted cleaning costs by determining the conditions under which inexpensive methods are appropriates, and those when more expensive methods are absolutely necessary. Hua et al [11] proposed a behavior-based unreliable RFID data smoothing system. It takes advantage of kinematic characteristics of tags to assist in RFID data cleaning and improves the accuracy of RFID data cleaning.…”

Efficient RFID Data Cleaning in Supply Chain Management

“…Chen et al [5] proposed a Bayesian inference based approach, which takes full advantage of data redundancy, for cleaning RFID raw data. Fan et al [6] proposed a behavior based RFID data smoothing approach, but it is only appropriate for a scenario with a single reader.…”