Related Experiment Video
Updated: Jun 13, 2025
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
500
Energy Consumption Minimization with SNR Constraint for Wireless Powered Communication Networks
Kuei-Ping Shih1, Yu-Sheng Tsai1, Yen-Da Chen2
1Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 251301, Taiwan.
Sensors (Basel, Switzerland)
|September 14, 2024
Summary
This study introduces the DaTA scheme for minimizing energy in wireless powered communication networks (WPCNs). It enables energy sharing among wireless stations to reduce overall network consumption while meeting signal-to-noise ratio constraints.
Area of Science:
- Wireless Communication Networks
- Energy Efficiency
- Signal Processing
Background:
- Wireless Powered Communication Networks (WPCNs) face challenges in energy consumption.
- Efficient energy management is crucial for sustainable WPCN operation.
- Existing schemes may not fully optimize energy sharing and consumption.
Purpose of the Study:
- To minimize energy consumption in WPCNs.
- To propose a novel time allocation scheme for energy efficiency.
- To ensure reliable data reception under Signal-to-Noise (SNR) constraints.
Main Methods:
- Developed the DaTA (Different Target Simultaneous Wireless Information and Power Transfer) time allocation scheme.
- Introduced a new frame structure for WPCNs.
- Formulated energy minimization as a nonlinear programming problem.
- Employed Sequential Quadratic Programming (SQP) for optimal solutions and a heuristic method for near-optimal solutions.
Main Results:
- The proposed DaTA scheme effectively minimizes energy consumption in WPCNs.
- Simulation results demonstrate superior performance compared to related works.
- The scheme achieves significant improvements in energy efficiency.
Conclusions:
- The DaTA scheme offers an effective solution for energy consumption minimization in WPCNs.
- Energy sharing post-transmission enhances overall network efficiency.
- The approach successfully balances energy efficiency with SNR constraints.
Keywords:
Harvest Then Transmit (HTT) protocolSNR constraintSimultaneous Wireless Information and Power Transfer (SWIPT)Wireless Powered Communication Networks (WPCNs)wireless energy transferMore Related Videos
Related Concept Videos
01:16Maximum Power Transfer
239
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...
By substituting the entire circuit with...
239
01:20The Maximum Power Transfer Theorem
581
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.
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.
581
01:15Conservation of AC Power
330
The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
330
01:23Maximum Power Flow and Line Loadability
97
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.
97
01:31Energy Stored In A Coaxial Cable
1.4K
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...
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...
1.4K
01:17Energy and Power Signals
272
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:
272