A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems

Getting consistent results when monitoring phenomena is a challenging but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy predictor to achieve uniform monitoring over time while maximizing the number of tasks executed. Our approach outperforms state of the art algorithms by increasing the number of daily measurement by 30% and reducing their standard deviation by 5.5×.