Scholarlink

The efficient deployment of sensors in industrial environments is crucial for monitoring and controlling various processes, ensuring safety, and optimizing resource utilization. In this article, we explore the application of the Particle Swarm Optimization (PSO) algorithm to solve the complex problem of sensor placement in industrial spaces. The PSO algorithm, inspired by social behavior patterns, has proven to be a powerful tool in solving optimization problems. We investigate its effectiveness in optimizing sensor locations to maximize coverage and minimize redundancy in industrial settings.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Application of Particle Swarm Optimization Algorithm in the Sensor Placement Optimization Problem

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Oskar Skubisz,
  • Hubert Zarzycki

摘要

The efficient deployment of sensors in industrial environments is crucial for monitoring and controlling various processes, ensuring safety, and optimizing resource utilization. In this article, we explore the application of the Particle Swarm Optimization (PSO) algorithm to solve the complex problem of sensor placement in industrial spaces. The PSO algorithm, inspired by social behavior patterns, has proven to be a powerful tool in solving optimization problems. We investigate its effectiveness in optimizing sensor locations to maximize coverage and minimize redundancy in industrial settings.