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

You might also read

Related Articles

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

Sort by
Same author

Stability-Controlled Continual Federated Learning for Energy-Harvesting AIoT Systems.

Sensors (Basel, Switzerland)·2026
Same author

Energy-Adaptive Multi-Dimensional Learning Control for Federated Learning in Energy-Harvesting AIoT Systems.

Sensors (Basel, Switzerland)·2026
Same author

Error Recovery Using Cooperative ARQ in Energy-Harvesting Wireless Sensor Networks with Data Allocation.

Sensors (Basel, Switzerland)·2026
Same author

Solution-Processed Ambipolar Thin Film Transistors-Based Inverters for Circuit Applications.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Low-Voltage, High-Sensitivity NIR Ambipolar Organic Phototransistor Based on a Non-Fullerene Acceptor.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Application of trivalent cation cross-linked quorum quenching beads for biofouling mitigation and phosphorus removal in a membrane bioreactor.

Biofouling·2026

Related Experiment Video

Updated: Mar 1, 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

Adaptive Data Aggregation and Compression to Improve Energy Utilization in Solar-Powered Wireless Sensor Networks.

Ikjune Yoon1, Hyeok Kim2, Dong Kun Noh3

  • 1Department of Smart Systems Software, Soongsil University, Seoul 06978, Korea. ijyoon@ssu.ac.kr.

Sensors (Basel, Switzerland)
|May 31, 2017
PubMed
Summary

This study introduces an energy-aware scheme for solar-powered wireless sensor networks (WSNs). The proposed method optimizes energy usage, reducing node blackouts and improving data delivery to the sink node.

Keywords:
aggregationcompressionenergy-harvestingsolar-poweredwireless sensor network

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.2K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

Related Experiment Videos

Last Updated: Mar 1, 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
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.2K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Environmental Science

Background:

  • Solar-powered wireless sensor networks (WSNs) face challenges with intermittent energy availability, particularly at night.
  • Nodes in WSNs must manage energy budgets to ensure continuous operation and data transmission.
  • Existing energy management schemes may lead to nodes becoming inoperable due to energy depletion.

Purpose of the Study:

  • To develop and evaluate an energy-aware data management scheme for solar-powered WSNs.
  • To minimize energy consumption and prevent nodes from shutting down due to lack of power.
  • To enhance the overall data throughput and reliability of WSNs.

Main Methods:

  • Nodes periodically assess their energy budget, considering residual energy, predicted acquisition, and consumption.
  • Data aggregation and compression are employed when energy surplus is anticipated.
  • Wireless communication is deactivated when energy is insufficient to conserve power.

Main Results:

  • The proposed scheme significantly reduced the number of nodes experiencing energy-related blackouts.
  • Improved data arrival rates at the sink node were observed compared to other schemes.
  • The adaptive energy management strategy proved effective in maintaining network operation.

Conclusions:

  • The developed scheme offers an efficient solution for energy management in solar-powered WSNs.
  • By intelligently managing data transmission based on energy availability, network longevity and data integrity are enhanced.
  • This approach contributes to more robust and sustainable WSN deployments.