An Improved Method of WSN Coverage Based on Enhanced PSO Algorithm

Aimed at the unreasonable distribution of sensors’ random deployment, an improved method of WSN coverage based on enhanced PSO algorithm is presented. The dynamic adjustment of inertia coefficient and mutation operator are introduced to improve the standard PSO algorithm, which can improve the global convergence speed and particle diversity, and can avoid falling into local convergence. The enhanced PSO algorithm is applied to the optimization of WSN coverage, which can increase the maximum coverage. According to the simulation results, compared with PSO in coverage, the enhanced algorithm is superior.

• Publication year

  2019

• Venue

  IEEE Joint International Information Technology and Artificial Intelligence Conference

• Publication date

  2019-05-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ITAIC.2019.8785849
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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