Prediction and Management in Energy Harvested Wireless Sensor Nodes

Download Now Free registration required

Executive Summary

Solar panels are frequently used in wireless sensor nodes because they can theoretically provide quite a bit of harvested energy. However, they are not a reliable, consistent source of energy because of the Sun's cycles and the ever-changing weather conditions. Thus, in this paper the authors present a fast, efficient and reliable solar prediction algorithm, namely, Weather-Conditioned Moving Average (WCMA) that is capable of exploiting the solar energy more efficiently than state-of-the-art energy prediction algorithms (e.g. Exponential Weighted Moving Average EWMA).

  • Format: PDF
  • Size: 128.8 KB