Jove
Visualize
Contact Us

Related Experiment Video

Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Energy efficient in-network RFID data filtering scheme in wireless sensor networks.

Ali Kashif Bashir1, Se-Jung Lim, Chauhdary Sajjad Hussain

  • 1Department of Computer and Radio Communication Engineering, Korea University, Seoul 136-713, Korea. alik@korea.ac.kr

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Retraction Note: Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation.

Soft computing·2026
Same author

Diagnosing lung disorder and optimal classification using dense convolution (Dc)-CapsNet technique.

Scientific reports·2026
Same author

LLM-enabled adaptive scheduling in IoT sensing for optimized network performance.

Scientific reports·2026
Same author

IoT-Driven Skin Cancer Detection: Active Learning and Hyperparameter Optimization for Enhanced Accuracy.

IEEE journal of biomedical and health informatics·2025
Same author

Conv-MTD: A CNN Based Multi-Label Medical Tubes Detection and Classification Model to Facilitate Resource-Constrained Point-of-Care Devices.

IEEE journal of biomedical and health informatics·2025
Same author

Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood.

PloS one·2025
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

This study introduces an in-network filtering scheme for Radio Frequency Identification (RFID) data within wireless sensor networks (WSNs). The method efficiently removes duplicate RFID data, significantly conserving network energy and extending WSN operational lifetime.

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Pervasive Computing

Background:

  • Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) are crucial for pervasive environments.
  • Integrating RFID data into WSNs for multi-hop communication faces challenges with data duplication.
  • Duplicate RFID data transmissions in WSNs lead to excessive energy consumption and reduced network lifespan.

Purpose of the Study:

  • To propose an efficient in-network RFID data filtering scheme to address data duplication in WSNs.
  • To reduce unnecessary data transmissions and conserve energy at WSN nodes.
  • To enhance the overall network lifetime by optimizing data handling.

Main Methods:

  • Implementation of a clustering mechanism within the WSN.
Keywords:
RFID data filteringenergy-efficiency in WSNin-network data processingintegration of RFID with WSNredundant readers

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

  • Designation of cluster heads responsible for identifying and filtering duplicate RFID data.
  • Forwarding of filtered, unique data towards the base station.
  • Main Results:

    • Significant energy savings achieved through reduced communication and computational overhead.
    • Demonstrated efficiency in eliminating duplicate RFID data within the network.
    • Extended network lifetime compared to existing data filtering approaches.

    Conclusions:

    • The proposed in-network RFID data filtering scheme effectively mitigates energy waste in WSNs.
    • Clustering-based duplicate data elimination by cluster heads is a viable strategy for WSN optimization.
    • This approach offers a practical solution for enhancing the performance and longevity of RFID-integrated WSNs.