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

Secondary Distribution01:25

Secondary Distribution

644
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
644
Power System Distribution01:25

Power System Distribution

1.2K
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
1.2K
Data Collection by Observations01:08

Data Collection by Observations

15.7K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
15.7K

You might also read

Related Articles

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

Sort by
Same author

Development of an Arterial Carbon Dioxide Estimation Model Using End-Tidal Carbon Dioxide Levels during Surgery in the Pediatric Population.

Anesthesiology·2026
Same author

Ethnicity-specific molecular subtypes and a machine-learning risk model in Asian patients with non-muscle-invasive bladder cancer.

Scientific reports·2026
Same author

Development of an Airflow-Based Automated Pipeline for Constructing Common Data Model Integrating Structured and Unstructured Medical Data.

Studies in health technology and informatics·2026
Same author

Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal.

PloS one·2026
Same author

Deep Learning-based Volition Detection and Action Potential Extraction for Fully Automated Diagnosis of Neuromuscular Disease Using Needle Electromyography Signals.

IEEE transactions on computational biology and bioinformatics·2026
Same author

Response to a letter to the editor on fracture risks in patients with arginine vasopressin deficiency: a nationwide matched cohort study (OSIN-D-26-00525).

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Apr 12, 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

1.2K

Branch-based centralized data collection for smart grids using wireless sensor networks.

Kwangsoo Kim1, Seong-il Jin2

  • 1UGS Convergence Research Department, ETRI, 208 Gajeong-ro Yuseong-gu, Daejeon 305-700, Korea. enoch@etri.re.kr.

Sensors (Basel, Switzerland)
|May 27, 2015
PubMed
Summary
This summary is machine-generated.

This study presents a novel method for smart meter data collection in smart cities, ensuring collision-free power usage data retrieval without time synchronization. The approach significantly speeds up data processing and guarantees 100% collection success.

Keywords:
collision avoidancedata collectionsmart gridwireless sensor network

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

9.0K

Related Experiment Videos

Last Updated: Apr 12, 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

1.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

9.0K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Smart grids are crucial for smart cities, utilizing smart meters as sensor nodes.
  • Centralized data collection from smart meters faces challenges due to lack of time synchronization and potential collisions.

Purpose of the Study:

  • To develop a collision-free data collection method for smart meters in unsynchronized environments.
  • To improve the efficiency and reliability of power usage data retrieval in smart grids.

Main Methods:

  • The proposed method divides the sensor network tree into branches.
  • A conflict-free query schedule is generated based on these branches for data collection.
  • The approach was evaluated using the ns-2 simulator.

Main Results:

  • The method achieves both collision avoidance and fast query processing.
  • Data collection success rate at the sink node is 100%.
  • Running time is 35% faster than round-robin; memory usage is 10% of depth-first search.

Conclusions:

  • The developed method effectively solves the centralized data collection problem for smart meters.
  • It offers significant improvements in speed and resource efficiency compared to existing methods.
  • This approach enhances the reliability of smart grid operations.