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Short-distance Transport of Resources02:12

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Related Experiment Video

Updated: May 8, 2026

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
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Energy efficient cluster-based routing protocol for WSN using multi-strategy fusion snake optimizer and minimum

Le Yang1, Damin Zhang2, Lun Li1

  • 1College of Big Data & Information Engineering, Guizhou University, Guiyang, 550025, China.

Scientific Reports
|July 22, 2024
PubMed
Summary

This study introduces a novel cluster routing protocol for wireless sensor networks (WSN) using a multi-strategy fusion snake optimizer (MSSO) and minimum spanning tree algorithm. The protocol enhances network lifespan and conserves energy, outperforming existing methods.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Wireless Sensor Networks (WSN) face energy and lifespan limitations, hindering Internet of Things (IoT) integration.
  • Efficient routing protocols are crucial for WSN longevity and performance.
  • Cluster technology presents a viable solution for WSN energy and routing challenges.

Purpose of the Study:

  • To introduce a novel cluster routing protocol for WSN to enhance network lifespan and conserve energy.
  • To optimize cluster head and relay node selection using advanced algorithms.
  • To improve the efficiency and performance of WSN routing.

Main Methods:

  • Developed a novel cluster routing protocol integrating the multi-strategy fusion snake optimizer (MSSO) and minimum spanning tree algorithm.
  • Enhanced MSSO with dynamic parameter updating, adaptive alpha mutation, and bi-directional search optimization for faster convergence and expanded search.
  • Integrated Fuzzy C-Means (FCM) into MSSO for cluster head selection and utilized distance, residual energy, and direction for relay node selection.

Main Results:

  • The proposed protocol reduced energy consumption by at least 26.64% compared to LEACH, ESO, EEWC, GWO, and EECHS-ISSADE.
  • Network lifetime increased by a minimum of 25.84%.
  • Extended the stable period by at least 52.43% and boosted network throughput by at least 40.99%.

Conclusions:

  • The novel cluster routing protocol significantly improves WSN energy efficiency and network lifespan.
  • The MSSO algorithm, enhanced with FCM and optimization tactics, effectively addresses WSN routing challenges.
  • This research offers a promising solution for developing more sustainable and efficient WSNs for IoT applications.