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相关概念视频

Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

41
Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
41
Design Example01:23

Design Example

310
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
310

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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改进的混合预编码和电力分配算法用于使用基于OFDM的WSNs的智能灌系统.

Emad S Hassan1

  • 1Department of Electrical and Electronics Engineering, College of Engineering and Computer Science, Jazan University, Jizan, Saudi Arabia.

PloS one
|May 13, 2025
PubMed
概括

本研究介绍了基于直角频率分割多重复合 (OFDM) 的智能灌无线传感器网络 (WSN) 的混合算法. 这些先进技术显著提高了系统性能和能源效率.

科学领域:

  • 无线通信无线通信
  • 传感器网络 传感器网络
  • 信号处理 信号处理

背景情况:

  • 电力分配和预编码是无线网络中尚未解决的挑战的新兴领域.
  • 基于直角频率分割多重复合 (OFDM) 的无线传感器网络 (WSN) 对智能灌系统至关重要.
  • 缓解通道色和优化电力分配是关键的性能因素.

研究的目的:

  • 为基于OFDM的WSNs提出和评估结合预编码和低复杂度功率分配的混合算法.
  • 解决对智能灌系统高效电力管理和性能提升的需求.
  • 为了提高系统吞吐量,能源效率和网络寿命.

主要方法:

  • 开发了混合算法,将线性预编码与跨子载体的动态功率分配相结合.
  • 利用频道频率选择性来调整基于信号噪声比 (SNR) 的调制和功率分配.
  • 集成的速率最大化 (RM) 为应用程序的灵活性和通过广泛的模拟来评估性能.

主要成果:

  • 拟议的混合算法在系统性能方面明显优于静态算法.
  • 算法动态调整信号星座大小和每次载波器的功率分布.
  • 在400比特/符号吞吐量目标下实现了高达18dB的SNR降低.

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  • 预编码的贪功率分配 (pre-GPA) 算法显示了高达98.5%的吞吐量和延长系统寿命.

    • 结论:

    • 拟议的混合算法有效地降低了电力消耗,并提高了基于OFDM的WSN在智能灌中的性能.
    • 与传统方法相比,这些算法在吞吐量,能源效率和网络寿命方面提供了实质性的改进.
    • 预编码和自适应功率分配的整合为先进的无线传感器网络应用提供了一个有希望的解决方案.