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DV-Hop Algorithm Based on Multi-Objective Salp Swarm Algorithm Optimization.

Weimin Liu1, Jinhang Li1, Aiyun Zheng2

  • 1College of Mechanical Engineering, North China University of Science and Technology, Tangshan 063210, China.

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|April 13, 2023
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Summary
This summary is machine-generated.

This study enhances wireless sensor network localization by improving the DV-Hop algorithm with multi-objective salp swarm optimization, significantly reducing localization errors for better node positioning.

Keywords:
DV-Hopmulti-objective salp swarm algorithmnode localizationwireless sensor network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Accurate sensor node localization is crucial for wireless sensor networks (WSNs).
  • The conventional DV-Hop algorithm offers range-free localization but suffers from limited accuracy.
  • Existing DV-Hop improvements often fail to achieve optimal localization precision.

Purpose of the Study:

  • To enhance the localization accuracy of the DV-Hop algorithm in WSNs.
  • To introduce a novel DV-Hop algorithm integrating multi-objective salp swarm optimization (MSSO).
  • To validate the proposed algorithm's superior performance over existing methods.

Main Methods:

  • Refining hop counts and correcting average hop distance using minimum mean-square error and weighting.
  • Transforming the single-objective optimization of DV-Hop into a multi-objective optimization problem.
  • Employing an improved MSSO algorithm for node coordinate estimation in the third stage of DV-Hop.

Main Results:

  • The proposed algorithm demonstrated significant reductions in localization errors across various network topologies and communication radii.
  • Localization errors decreased by up to 56.79% compared to the standard DV-Hop algorithm.
  • Performance improvements were consistently observed across different node counts, anchor node numbers, and regional distributions.

Conclusions:

  • The multi-objective salp swarm optimization-based DV-Hop algorithm offers superior localization accuracy in WSNs.
  • The proposed method outperforms standard DV-Hop and other enhanced variants like GWO-DV-Hop, SSA-DV-Hop, and ISSA-DV-Hop.
  • This approach provides a robust solution for precise sensor node positioning in complex network environments.