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A Data Collection Method for Mobile Wireless Sensor Networks Based on Improved Dragonfly Algorithm.

Yinggao Yue1, Dongwan Lu2, Yong Zhang3

  • 1School of Intelligent Manufacturing and Electronic Engineering, Wenzhou University of Technology, Wenzhou, 325035, China.

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This study introduces an improved dragonfly algorithm for mobile wireless sensor networks to optimize energy consumption and enhance reliability. The new method significantly boosts network lifespan and communication efficiency.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Optimization Algorithms

Background:

  • Mobile wireless sensor networks (MWSNs) face challenges like limited node energy, unbalanced consumption, unreliability, and data transmission delays.
  • These issues are critical for the sensing layer of the Internet of Things (IoT).
  • The data collection process in MWSNs is a complex multiobjective optimization problem.

Purpose of the Study:

  • To minimize energy consumption in MWSNs.
  • To improve network reliability under time-delay constraints.
  • To optimize the path of the mobile Sink in MWSNs.

Main Methods:

  • Developed an improved dragonfly optimization algorithm for MWSN path optimization.
  • Leveraged the mobile Sink's resources (storage, energy, computing power) for network efficiency.
  • Ensured network connectivity and improved communication efficiency.

Main Results:

  • Reduced overall network energy consumption.
  • Increased the operational lifespan of the network.
  • Improved network connectivity and reduced transmission delay compared to random movement, artificial bee colony, and basic dragonfly algorithms.

Conclusions:

  • The proposed algorithm effectively balances sensor node energy consumption.
  • Achieved network service quality and enhanced network reliability.
  • Demonstrated superior performance in energy efficiency and network longevity for MWSNs.