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An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks.

Changlong Sun1, Zhengzong Wang2, Dongwan Lu3

  • 1School of Economics and Management, Wenzhou University of Technology, Wenzhou 325035, China.

Computational Intelligence and Neuroscience
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Summary

This study introduces an improved shuffled frog leaping algorithm to enhance multipath data transmission in wireless sensor networks, boosting reliability and reducing packet loss.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Algorithm Optimization

Background:

  • Wireless sensor networks (WSNs) face challenges in stable and reliable multipath data transmission due to node/link failures, energy depletion, and interference.
  • Existing multipath strategies struggle to overcome these limitations, impacting overall network performance.

Purpose of the Study:

  • To propose an improved multipath transmission strategy for WSNs using an enhanced shuffled frog leaping algorithm (SFLA).
  • To optimize node selection and path establishment for improved network stability and reliability.

Main Methods:

  • Developed a mathematical model for multipath transmission in WSNs.
  • Enhanced the SFLA by integrating particle swarm optimization's transition probability to improve local optimum avoidance and solution quality.
  • Applied the enhanced SFLA to update, divide, and reorganize sensor nodes for optimal path selection.

Main Results:

  • The proposed algorithm ensures reliable data transmission in WSNs.
  • Demonstrated significant reductions in network packet loss rate and energy consumption.
  • Achieved a notable decrease in the average data transmission delay.

Conclusions:

  • The improved SFLA-based multipath strategy effectively addresses WSN transmission challenges.
  • The approach enhances network reliability, efficiency, and performance.
  • This method offers a robust solution for critical data delivery in WSNs.