Removing one of the filters reduces the time needed to filter duplicate readings without reducing the accuracy and efficiency of the filtering results. By reducing the number of tasks, the new algorithm increases Deltarasin? the efficiency and makes the approach less complicated. Second, the current algorithm incorporates an enhanced landmark window in the duplicate filtering process. This landmark window will remove all data when a specific point is met.The rest of the paper is organized as follows: Section 2 presents the background of the problem which includes system model and problem formulation. Section 3 discusses the related work. The proposed algorithm is described in detail in Section 4. Section 5 presents the performance analysis of the proposed algorithm.
The results in this section show that the proposed approach significantly outperforms existing approaches. The conclusion and future directions is presented in Section 6.2.?Background2.1. System ModelA typical RFID system consists of a transponder (i.e., tag), which is attached to the object to be identified, an interrogator (i.e., reader) that creates an RF field for detecting radio waves, the middleware and a backend database system for maintaining expanded information on the objects and other associated information. The middleware collects and processes the readings from readers for the use of enterprise applications and enterprise database. The process such as filtering and aggregation transform raw data into meaningful information for the application.
The middleware also coordinates reader activities, ensures reliability in data transmission, improving network communications and allowing heterogeneous devices to collaborate together [11].The tag is capable of storing the identifying information of the object to which it is attached and communicate the information via radio waves to an interrogator. RFID tags, based on their power sources, are generally classified as passive, active and semi-active tags. The active and semi GSK-3 active tags have their own power source whereas the passive tags forage power from the waves sent out by readers. The semi-active tags may also scavenge power from the readers. In this paper, we focus on passive tags. Relative to both active and semi-active tags, passive tags are very cheap and they are widely used in very large quantities in many applications such as supply chain management.
The RFID system is assumed to contain multiple research use networked RFID readers deployed to collaboratively collect data from tagged objects in their vicinity. The reading distance ranges from a few centimeters to more than 300 feet, depending on factors such as interference from other RF devices. The RFID readers query tags to obtain data and forward the resulting information through the middleware to the backend applications or database servers.