Scholarlink

To address the problem of maximizing sensor node coverage in heterogeneous wireless sensor networks (HWSNs), this study proposes a Q-learning aided and elite guidance snow ablation optimizer (SAO), named QEG-SAO. Our proposal has two novel components: (1) An adaptive diversity-driven step adjustment mechanism via Q-learning, which aims to overcome the limitation of fixed steps in SAO; (2) An elite guidance strategy is proposed to improve the quality of inferior individuals. QEG-SAO achieves superior performance compared to SAO, its variants, advanced meta-heuristic algorithms, and entries from the CEC competition, as validated on the CEC2017 benchmark and simulations of two-dimensional sensor node coverage considering a variety of maximum sensor radii and error rates. Notably, it achieves 4.07% and 9.43% higher coverage than SAO in our defined scenarios.

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

Q-learning Aided and Elite Guidance Snow Ablation Optimizer for Heterogeneous Wireless Sensor Networks Coverage

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Shuai Li,
  • Lei Peng,
  • Zhiming Song,
  • Xiaoyu Chen,
  • Wanbing Zhang,
  • Kai Fei,
  • Chengyu Shi

摘要

To address the problem of maximizing sensor node coverage in heterogeneous wireless sensor networks (HWSNs), this study proposes a Q-learning aided and elite guidance snow ablation optimizer (SAO), named QEG-SAO. Our proposal has two novel components: (1) An adaptive diversity-driven step adjustment mechanism via Q-learning, which aims to overcome the limitation of fixed steps in SAO; (2) An elite guidance strategy is proposed to improve the quality of inferior individuals. QEG-SAO achieves superior performance compared to SAO, its variants, advanced meta-heuristic algorithms, and entries from the CEC competition, as validated on the CEC2017 benchmark and simulations of two-dimensional sensor node coverage considering a variety of maximum sensor radii and error rates. Notably, it achieves 4.07% and 9.43% higher coverage than SAO in our defined scenarios.