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Distributed Loads: Problem Solving01:21

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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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network.

Rajathi Natarajan1, Geetha Megharaj2, Adam Marchewka3

  • 1Department of Information Technology, Kumaraguru College of Technology, Coimbatore 641049, India.

Sensors (Basel, Switzerland)
|May 28, 2022
PubMed
Summary

A new energy-efficient routing technique, the energy and distance based multi-objective red fox optimization algorithm (ED-MORFO), enhances wireless sensor network (WSN) performance. ED-MORFO optimizes cluster head selection and routing to significantly reduce energy consumption and extend network lifetime.

Keywords:
cluster headenergy consumptionmulti-objective red fox optimizationnetwork lifetimewireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Wireless Sensor Networks (WSNs) are crucial for environmental monitoring, but energy efficiency remains a challenge.
  • Existing routing methods often lead to rapid sensor node power depletion.
  • Minimizing energy consumption is key to extending WSN operational lifespan.

Purpose of the Study:

  • To propose an energy-efficient clustering and routing technique for WSNs.
  • To reduce overall energy consumption in sensor networks.
  • To enhance network performance metrics such as packet delivery ratio and network lifetime.

Main Methods:

  • Development of the energy and distance based multi-objective red fox optimization algorithm (ED-MORFO).
  • Implementation of a cluster head (CH) selection mechanism prioritizing residual energy.
  • Optimization of routing paths to the base station in each communication round.

Main Results:

  • ED-MORFO demonstrated superior performance compared to MCH-EOR and RDSAOA-EECP methods.
  • Achieved significantly lower energy consumption (0.46 J).
  • Improved packet delivery ratio (99.4%), reduced packet loss rate (0.6%), and enhanced network lifetime (3719 s).

Conclusions:

  • The proposed ED-MORFO technique effectively reduces energy consumption in WSNs.
  • ED-MORFO offers a promising solution for extending the operational life of wireless sensor networks.
  • The algorithm shows significant improvements in key performance indicators vital for WSNs.