Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Maximum Power Transfer

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...

Maximum Power Flow and Line Loadability

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.

Energy Stored In A Coaxial Cable

Energy Stored In A Coaxial Cable

A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...

The Maximum Power Transfer Theorem

The Maximum Power Transfer Theorem

Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.

Transmission Line Design Considerations

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

You might also read

Related Articles

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

Sort by

Same author

Passive Radar Sensing for Human Activity Recognition: A Survey.

IEEE open journal of engineering in medicine and biology·2024

Same author

LoRa-Based IoT Network Assessment in Rural and Urban Scenarios.

Sensors (Basel, Switzerland)·2023

Same author

Secure Polar Coding for the Primitive Relay Wiretap Channel.

Entropy (Basel, Switzerland)·2021

Same author

Game Theoretic Honeypot Deployment in Smart Grid.

Sensors (Basel, Switzerland)·2020

Search research articles

Related Experiment Video

Updated: Nov 10, 2025

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

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

Published on: September 8, 2023

Optimization of Ultra-Dense Wireless Powered Networks.

Panagiotis D Diamantoulakis¹, Vasilis K Papanikolaou¹, George K Karagiannidis¹

¹Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

This summary is machine-generated.

This study optimizes wireless power transfer for the Internet of Things (IoT) by balancing energy and data transmission in ultra-dense networks. It introduces novel protocols to maximize data rates, improving energy sustainability for future IoT applications.

Keywords:

internet-of-things optimization remote radio heads ultra-dense wireless power transfer

More Related Videos

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

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

Published on: November 3, 2023

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Related Experiment Videos

Last Updated: Nov 10, 2025

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

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

Published on: September 8, 2023

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

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

Published on: November 3, 2023

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Area of Science:

Wireless communication networks
Internet of Things (IoT)
Energy harvesting and management

Background:

The Internet of Things (IoT) faces challenges in maintenance costs, directly linked to energy efficiency and autonomy.
Wireless Power Transfer (WPT) is a promising solution for IoT energy sustainability, but its effectiveness decreases with distance.
Decentralized approaches using Remote Radio Heads (RRHs) can mitigate distance limitations in WPT for IoT.

Purpose of the Study:

To investigate and maximize the ergodic rate in ultra-dense wireless powered networks.
To balance the trade-off between energy transfer (downlink) and information reception (uplink) using RRHs.
To develop and compare novel protocols for optimizing RRH allocation as Power Beacons (PBs) or Access Points (APs).

Main Methods:

Introduction and optimization of three protocols: density splitting, time splitting, and hybrid time and density splitting.
Consideration of two distinct Power Beacon (PB) power constraint policies.
Application of convex optimization tools to derive closed-form solutions for formulated problems.

Main Results:

Optimal solutions were derived for various protocol and power constraint combinations.
Numerical results illustrate the ergodic rate achieved by each proposed protocol.
Insights were gained regarding the comparison of protocols, linked to design guidelines and cost implications.

Conclusions:

The proposed protocols offer effective strategies for enhancing data rates in wireless powered IoT networks.
The findings provide valuable design guidelines for ultra-dense WPT networks, considering capital and operational expenses.
This research contributes to the energy sustainability and improved performance of next-generation IoT deployments.