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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.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy-Efficient Optimal Power Allocation for SWIPT Based IoT-Enabled Smart Meter.

Zaki Masood1, Ardiansyah2, Yonghoon Choi1

  • 1Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea.

Sensors (Basel, Switzerland)
|December 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-efficient Internet of Things (IoT) smart meter using simultaneous wireless information and power transfer (SWIPT) to maximize energy efficiency (EE) in smart grids. The proposed power allocation algorithm enhances battery life for IoT devices.

Keywords:
distributed antenna systemenergy efficiencyenergy harvestinginternet of thingssmart gridwireless power transfer

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Telecommunications

Background:

  • The proliferation of Internet of Things (IoT) devices in smart grids necessitates efficient power solutions.
  • Ultra-low power devices require prolonged battery life, making energy harvesting (EH) crucial.
  • Simultaneous Wireless Information and Power Transfer (SWIPT) offers a promising approach for wireless power and data transmission.

Purpose of the Study:

  • To maximize energy efficiency (EE) in an IoT-enabled smart meter system.
  • To investigate the application of SWIPT in a power-splitting (PS) mode for smart grid communications.
  • To address the non-convex optimization problem of EE maximization in an Orthogonal Frequency Division Multiplexing Distributed Antenna System (OFDM-DAS).

Main Methods:

  • Development of an optimal power allocation algorithm using the Lagrange method and proportional fairness.
  • Modeling of an IoT-enabled smart meter system with PS-SWIPT.
  • Analysis of the trade-off between energy efficiency (EE) and spectral efficiency (SE).

Main Results:

  • The proposed algorithm effectively maximizes EE under energy constraints, considering total power consumption.
  • The system demonstrates improved EE with increasing energy harvesting (EH) requirements.
  • The EE versus SE trade-off was investigated and quantified.

Conclusions:

  • The presented optimal power allocation algorithm provides a viable solution for EE maximization in IoT-enabled smart meters.
  • SWIPT with EH is a key enabler for sustainable and long-lasting IoT devices in smart grids.
  • The findings contribute to the development of more efficient and reliable wireless powered smart grid communication networks.