The Research On Missing Tag Identification Of Categorized Radio Frequency Identification In Inventory Management

As an emerging technology, Radio Frequency Identification (RFID) has been widely employed in extensive applications such as inventory management, transportation and logistics, asset tracking etc. RFID can be quick read over a long distance, and it can be recognized with no obstacle, and it also has a large capacity of data. The application of inventory management is very suitable for using RFID because of its features. In inventory management, all items are attached with RFID tags, thus can be real-time monitoring all of them. In practical application, items losting often happens due to theft, human sorting error or other reasons which cause economic losses to managers and merchants. Timely found the problem and remedy it is an urgent need to solve the problem in inventory management. However, most of the existing RFID systems are categorized systems. It is because each RFID tag not only has an inherent ID but also belongs to a category according to the item which it is attached. Hence, the methods in RFID systems should be able to distinguish the different categories.In inventory management, identifying the missing tags in categorized RFID systems has attracted wide attention due to its practical importance. Recently, many novel protocols have been proposed to identify the missing tags. Typically, those approaches identify the missing tags for monitoring range of all RFID tags and do not distinguish categories. This will lead time and energy inefficiency. Therefore, the application of inventory management needs a missing tag identification method which can adapt the categorized RFID system.In this paper, we first proposed a missing tag identification problem based on categorized RFID system according to actual need of inventory management. To solve the problem, we then proposed three kinds of protocols. More specifically, the baseline protocol uses the method "naming",which can eliminate the transmission collision among the tags and avoid RFID tags which are not in the wanted category participating in protocol. CMTI protocol utilizes the Bloom filter as a tool to active all tags in the wanted category. The protocol use a compressive structure to active the tags and does not require any tag ID to be transmitted, improving the safety performance. Our last protocol ECMTI further improves the second protocol by changing empty slots and collision slots into singleton slots, which improves the utilization of the frame. We evaluate the performance of our protocols with extensive simulations, the results show that our protocols are able to significantly reduce the time and energy overhead according to particular accuracy requirement.