Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Artificial Intelligence in urban design: A systematic review.

Cities (London, England)·2026
Same author

Metal-organic framework/graphene nanoribbon/polyimide mixed-matrix membranes for high-temperature H<sub>2</sub>/N<sub>2</sub> separation.

Science advances·2026
Same author

Reinforcement learning via conservative agent for environments with random delays.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Travel Time to Methadone Treatment Via Personal Vehicle vs Public Transit.

JAMA network open·2026
Same author

Stable Pure-Green Hyperfluorescent Organic Light-Emitting Diodes with Ultimate Efficiency at High Brightness Toward Rec 2020 Standard.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Biopolymer-Induced Nanoarchitectured Superhydrophilic Carbon Aerogel with Efficient Transport Channel for Sustainable Water Purification.

ACS nano·2025

Related Experiment Video

Updated: May 24, 2026

Computer Vision-Based Biomass Estimation for Invasive Plants
08:47

Computer Vision-Based Biomass Estimation for Invasive Plants

Published on: February 9, 2024

Optimal Detection Range of RFID Tag for RFID-based Positioning System Using the k-NN Algorithm.

Soohee Han1, Junghwan Kim, Choung-Hwan Park

  • 1School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea; E-Mails: scivile@yonsei.ac.kr (S.H.); roak7@hanmail.net (J.K.); c142520@yonsei.ac.kr (C.P.).

Sensors (Basel, Switzerland)
|March 13, 2012
PubMed
Summary

This study determined the optimal detection range for Radio Frequency Identification (RFID) positioning systems. The ideal range is approximately 125-143% of tag spacing, depending on the dimensional space, for accurate object tracking.

Keywords:
RFIDdetection rangek-nearest neighborubiquitous positioning system

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Related Experiment Videos

Last Updated: May 24, 2026

Computer Vision-Based Biomass Estimation for Invasive Plants
08:47

Computer Vision-Based Biomass Estimation for Invasive Plants

Published on: February 9, 2024

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Area of Science:

  • Ubiquitous Computing
  • Wireless Sensor Networks
  • Localization and Positioning

Background:

  • Accurate positioning technology is crucial for ubiquitous computing applications.
  • Radio Frequency Identification (RFID) systems offer a viable solution for tracking moving objects.
  • The k-nearest neighbor (k-NN) algorithm is commonly used in RFID positioning systems.

Purpose of the Study:

  • To determine the optimal detection range for an RFID-based positioning system.
  • To establish a relationship between tag spacing and optimal detection range.
  • To analyze positioning accuracy in 1-, 2-, and 3-dimensional spaces.

Main Methods:

  • Analytical and numerical approaches were employed to derive optimal detection ranges.
  • Assumed regularly distributed reference tags without signal strength information.
  • Calculated optimal detection range as a percentage of tag-spacing distance.

Main Results:

  • In 1-dimensional space, the optimal detection range was found to be 125% of the tag-spacing distance.
  • Numerical approaches indicated an optimal range of 134% in 2-dimensional space.
  • The optimal detection range was determined to be 143% in 3-dimensional space.

Conclusions:

  • The optimal detection range for RFID positioning systems is dependent on the dimensionality of the space.
  • These findings provide essential parameters for designing efficient and accurate RFID-based localization systems.
  • The study contributes to the advancement of positioning technology in ubiquitous computing.