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Design Example: Design of an Irrigation Channel01:27

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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...
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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...
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Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs.

Emad S Hassan1

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

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|May 13, 2025
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Summary
This summary is machine-generated.

This study introduces hybrid algorithms for Orthogonal Frequency Division Multiplexing (OFDM)-based Wireless Sensor Networks (WSN) in smart irrigation. These advanced techniques significantly improve system performance and energy efficiency.

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Area of Science:

  • Wireless Communication
  • Sensor Networks
  • Signal Processing

Background:

  • Power allocation and pre-coding are emerging fields with unresolved challenges in wireless networks.
  • Orthogonal Frequency Division Multiplexing (OFDM)-based Wireless Sensor Networks (WSN) are crucial for smart irrigation systems.
  • Mitigating channel fading and optimizing power distribution are key performance factors.

Purpose of the Study:

  • To propose and evaluate hybrid algorithms integrating pre-coding with low-complexity power allocation for OFDM-based WSNs.
  • To address the need for efficient power management and performance enhancement in smart irrigation systems.
  • To improve system throughput, energy efficiency, and network lifetime.

Main Methods:

  • Developed hybrid algorithms combining linear pre-coding with dynamic power allocation across sub-carriers.
  • Exploited channel frequency selectivity to adjust modulation and power distribution based on Signal-to-Noise Ratio (SNR).
  • Incorporated Rate Maximization (RM) for application flexibility and evaluated performance through extensive simulations.

Main Results:

  • Proposed hybrid algorithms significantly outperform static schemes in system performance.
  • Algorithms dynamically adjust signal constellation size and power distribution per sub-carrier.
  • Achieved up to 18 dB SNR reduction for a 400 bits/symbol throughput target.
  • Pre-coded Greedy power allocation (pre-GPA) algorithm demonstrated up to 98.5% throughput and extended system lifespan.

Conclusions:

  • The proposed hybrid algorithms effectively minimize power consumption and boost performance in OFDM-based WSNs for smart irrigation.
  • These algorithms offer substantial improvements in throughput, energy efficiency, and network lifetime compared to conventional methods.
  • The integration of pre-coding and adaptive power allocation presents a promising solution for advanced wireless sensor network applications.