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

Power and Energy01:12

Power and Energy

1.9K
The power and energy delivered to an element are subjects of great significance in the field of electrical engineering. It is a well-known fact that a 100-watt light bulb emits more light than a 60-watt one. Therefore, power and energy calculations play a crucial role in the analysis of electrical circuits.
Power, defined as the time rate of expending or absorbing energy, is quantified in units called watts (W). The relation between power and energy is mathematically given as
1.9K
Energy Supply for Muscle Contraction01:25

Energy Supply for Muscle Contraction

5.6K
Skeletal muscle fibers have the unique ability to switch between rest and contraction states, using different sources of ATP for energy. The contraction cycle and Ca2+ transport back into the sarcoplasmic reticulum for relaxation require significant ATP. However, the ATP reserves in muscle fibers are limited and can only sustain contractions for a few seconds. Additional ATP production becomes necessary for prolonged contractions. As a result, muscle fibers generate ATP through various sources,...
5.6K
Energy and Power of a Wave00:58

Energy and Power of a Wave

4.9K
The total energy associated with a wavelength is the sum of the potential energy and the kinetic energy. The average rate of energy transfer associated with a wave is called its power, which is total energy divided by the time it takes to transfer the energy. For a sinusoidal wave, energy and power are proportional to the square of both the amplitude and the angular frequency.
Waves can also be concentrated or spread out, as characterized by the intensity of the wave. Intensity is directly...
4.9K
Energy and Power Signals01:17

Energy and Power Signals

1.1K
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
1.1K
Nuclear Power02:36

Nuclear Power

9.4K
Controlled nuclear fission reactions are used to generate electricity. Any nuclear reactor that produces power via the fission of uranium or plutonium by bombardment with neutrons has six components: nuclear fuel consisting of fissionable material, a nuclear moderator, a neutron source, control rods, reactor coolant, and a shield and containment system.
Nuclear Fuels
Nuclear fuel consists of a fissile isotope, such as uranium-235, which must be present in sufficient quantity to provide a...
9.4K
Activation Energy01:26

Activation Energy

86.4K
Activation energy is the minimum amount of energy necessary for a chemical reaction to move forward. The higher the activation energy, the slower the rate of the reaction. However, adding heat to the reaction will increase the rate, since it causes molecules to move faster and increase the likelihood that molecules will collide. The collision and breaking of bonds represents the uphill phase of a reaction and generates the transition state. The transition state is an unstable high-energy state...
86.4K

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

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

Sensors (Basel, Switzerland)·2026
Same author

Dual-Mode Data Collection for Periodic and Urgent Data Transmission in Energy Harvesting Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2025
Same author

Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks.

Sensors (Basel, Switzerland)·2023
Same author

Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2020
Same author

Efficient Location Service for a Mobile Sink in Solar-Powered Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: Jan 23, 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

1.1K

Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks.

Jun Min Yi1, Ikjune Yoon

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

Sensors (Basel, Switzerland)
|June 16, 2019
PubMed
Summary

A drone-based wireless power transfer system prevents sensor node blackouts in energy-harvesting networks. This mobile sink strategy improves network connectivity and data collection efficiency in hotspot areas.

Keywords:
droneenergy-harvestingmobile sinkrechargeablewireless sensor networks

More Related Videos

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

2.9K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K

Related Experiment Videos

Last Updated: Jan 23, 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

1.1K
Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

2.9K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Battery-powered wireless sensor networks face energy shortages, leading to blackouts and reduced connectivity, especially in hotspot areas.
  • Energy-harvesting wireless sensor networks aim to mitigate these issues but still suffer from node blackouts.
  • Wireless Power Transfer (WPT) is being explored to directly supply energy to sensor nodes.

Purpose of the Study:

  • To propose a novel technique using a drone as a mobile sink to address energy shortages and blackouts in wireless sensor networks.
  • To improve network connectivity and data collection efficiency in hotspot regions.
  • To enhance the energy efficiency of the overall wireless sensor network.

Main Methods:

  • Utilizing a drone (unmanned aerial vehicle/UAV) as a mobile sink to manage data aggregation and energy supply.
  • Selecting and managing anchor nodes for temporary data aggregation based on drone capacity, network size, data volume, and node energy consumption.
  • Implementing wireless power transfer from the drone to anchor nodes to support their energy needs and prevent blackouts.

Main Results:

  • Significant reduction in sensor node blackouts, particularly in hotspot regions.
  • Improved network connectivity and data gathering capabilities.
  • Enhanced energy efficiency within the wireless sensor network.

Conclusions:

  • The proposed drone-based mobile sink with wireless power transfer effectively mitigates energy shortage problems in wireless sensor networks.
  • This approach successfully reduces blackouts in hotspot areas, thereby enhancing overall network connectivity and data collection.
  • The careful selection of anchor nodes and energy transfer strategy optimizes network energy efficiency.