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Related Experiment Video

Updated: Jan 31, 2026

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
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Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks.

Jaeyoung Kang1, Illsoo Sohn2, Sang Hyun Lee3

  • 1School of Electrical Engineering, Korea University, Seoul 02841, Korea. retbird13@korea.ac.kr.

Sensors (Basel, Switzerland)
|December 27, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces LEACH-XMP, a distributed protocol enhancing wireless sensor network (WSN) energy efficiency. It optimizes cluster formation using a message-passing approach, extending network lifetime and reducing node computational load.

Keywords:
LEACHmessage passingnonlinear power consumption

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) require energy-efficient protocols for prolonged operation.
  • Existing clustering protocols like LEACH face challenges with realistic, non-linear energy consumption models.
  • Efficient cluster formation is critical for WSN performance and longevity.

Purpose of the Study:

  • To propose a distributed energy-efficient clustering protocol for WSNs.
  • To enhance the cluster formation algorithm within the LEACH framework.
  • To address the complexities of non-linear energy consumption models in WSNs.

Main Methods:

  • Developed LEACH-eXtended Message-Passing (LEACH-XMP), a novel distributed protocol.
  • Incorporated a realistic non-linear energy consumption model.
  • Utilized a state-of-the-art message-passing approach for distributed optimization.

Main Results:

  • The LEACH-XMP protocol demonstrates significant improvements in energy efficiency.
  • The distributed algorithm converges rapidly to accurate solutions within few iterations.
  • Simulation results confirm maximized network lifetime compared to existing techniques.

Conclusions:

  • LEACH-XMP offers a practical and efficient solution for WSN energy management.
  • The message-passing approach effectively handles complex, non-linear energy models.
  • The protocol's distributed nature reduces computational load, enhancing deployability.