Abstract
The radio frequency identification technology was given greater interest as it is widely used for identification and localization in the cognitive radio sensor networks. While radio frequency identification–based indoor localization is attractive, the need for a large-scale and high-density deployment of readers and reference tags is costly. Using mobile readers mounted on guide rails, we design and implement an RFID indoor localization system, which requires neither reference tags nor received signal strength indicator functions, for stock-taking and searching in warehouse operations. In particular, we install two guide rails, which can allow a reader to move horizontally or vertically, on the ceiling of a warehouse or workshop. We then propose a continuous scanning algorithm to improve the accuracy for locating a single tagged object and a category-based scheduling algorithm to shorten the time for locating multiple tagged objects. Our primary experimental results show that RFID indoor localization system can achieve high time efficiency and localization accuracy in the indoor localization.
Highlights
Radio frequency identification (RFID) and cognitive radio sensor network (CRSN) are two important wireless technologies that have a wide variety of applications and provide unlimited future potentials
A system called RFID indoor localization system (RILS) was designed to locate stationary objects attached with passive tags with high accuracy
Two electric motors, which are separately installed on x-axis and y-axis guide rails, called x-axis and y-axis electric motors, provide power to move the reader from one location to another
Summary
Radio frequency identification (RFID) and cognitive radio sensor network (CRSN) are two important wireless technologies that have a wide variety of applications and provide unlimited future potentials. Due to the absence of external power source, a passive tag has the following advantages: lower price, longer life time, and smaller size. International Journal of Distributed Sensor Networks range of a tagged object They place reference tags, which can be either custom or active tags, at known locations in a warehouse or a workshop. A cost-effective and high-accuracy RFID indoor localization system (RILS) is designed and implemented to improve efficiency and reduce costs in some major warehouse operations, such as stock-taking and searching, which are time-consuming and often lead to mistakes. A category-based scheduling algorithm is proposed to reduce the time for locating multiple tagged objects placed in different storage areas. A category-based scheduling algorithm is proposed to determine the scanning order of multiple tagged objects. Section ‘‘Localization algorithm’’ proposes a continuous scanning algorithm to locate tagged objects.
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