<p>This letter proposes an energy-aware double filtering caching strategy (EaDF) that optimizes energy consumption in Information-centric wireless sensor networks. We first establish an energy consumption model that analyzes transmission costs, replacement penalties, and memory access overhead. Guided by this model, EaDF employs a double filtering mechanism that combines node location awareness and popularity-aware thresholding to cache popular content close to consumers, while strategically reducing the frequency of cache updates to save energy. Experiments show that our method can achieve lower energy consumption.</p>

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An Energy-Aware Double Filtering Caching Strategy for Information-Centric Wireless Sensor Networks

  • Yuhang Li,
  • Shuang Ouyang

摘要

This letter proposes an energy-aware double filtering caching strategy (EaDF) that optimizes energy consumption in Information-centric wireless sensor networks. We first establish an energy consumption model that analyzes transmission costs, replacement penalties, and memory access overhead. Guided by this model, EaDF employs a double filtering mechanism that combines node location awareness and popularity-aware thresholding to cache popular content close to consumers, while strategically reducing the frequency of cache updates to save energy. Experiments show that our method can achieve lower energy consumption.