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An intelligent IoT-based positioning system for theme parks by Sina Einavipour; Reza Javidan is a Computer Science article available to read on EtoBox.

What is An intelligent IoT-based positioning system for theme parks about?

With the advent of the Internet of Things (IoT) and ubiquitous presence of sensor nodes, positioning technologies have become a topic of interest among researchers. While the applications of positioning systems are very vast, determining the position of moving sensor nodes, finding missing people in large areas, and object tracking are among the most popular ones. The focus of this paper is to propose a positioning system to locate missing people in theme parks. Currently, radio frequency identification (RFID) systems are used in modern theme parks to locate lost visitors. In these systems, a wristband with active RFID tag is given to each visitor and RFID readers are deployed in predetermined locations. When a visitor is in the communication range of a reader, its location can be estimated based on the location of the reader. Therefore, the accuracy of these systems is relevant to the communication range of readers. Another limitation of RFID-based systems is due to the fact that readers cannot be placed in communication range of each other as they can interference with each other. It is clear that the only way to increase the accuracy of such systems is by increasing the number o

Who reads An intelligent IoT-based positioning system for theme parks?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Sina Einavipour; Reza Javidan
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Computer Science (Physical Sciences)

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