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Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks

Cammarano A, Petrioli C, Spenza D ...see all

Mobile Adhoc and Sensor Systems MASS 2012 IEEE 9th International Conference on (2012) pp. 75-83

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Abstract

Energy harvesting is one of the most promising technologies towards the goal of perpetual operation of wireless sensor networks (WSNs). Environmentally-powered systems, however, have to deal with the variable behavior of ambient energy sources, which results in different amounts and rates of energy available over time. To alleviate the problem of the harvested power being neither constant nor continuous, energy prediction methods can be employed. Such models forecast the source availability and estimate the expected energy intake, allowing the system to take critical decisions about the utilization of the available energy. In this work, we present a novel energy prediction model, named Pro-Energy (PROfile energy prediction model), for multi-source energy harvesting WSNs, which is able to leverage past energy observations to provide accurate estimations of future energy availability. To assess the performance of our proposed solution, we use real-life solar and wind traces that we collected by interfacing TelosB nodes with solar cells and wind micro-turbines, as well as public available traces of solar and wind obtained from weather monitoring stations in the US. A comparative performance evaluation between Pro-Energy and energy predictors previously proposed in the literature, such as EWMA and WCMA, has shown that our solution significantly outperforms existing algorithms for both short and medium term prediction horizons, improving the prediction accuracy up to 60%.

Author-supplied keywords

  • ambient energy sources
  • critical decisions
  • energy availability
  • energy harvesting
  • energy prediction model
  • energy predictions
  • energy resources
  • environmentally powered systems
  • environmentally powered wsns
  • expected energy intake estimation
  • forecasting theory
  • green wsns
  • medium term prediction horizons
  • microturbines
  • multi source energy harvesting
  • multisource energy harvesting wsn
  • performance evaluation
  • prediction theory
  • proenergy
  • profile energy prediction model
  • real life solar traces
  • real life wind traces
  • rechargeable sensors
  • short term prediction horizons
  • solar cells
  • solar energy harvesting wireless sensor networks
  • solar power
  • solar powered wsns
  • source availability forecast
  • telosb nodes
  • us
  • weather monitoring stations
  • wind energy harvesting wireless sensor networks
  • wind power
  • wind powered wsns
  • wind turbines
  • wireless sensor networks
  • wsn

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Authors

  • A Cammarano

  • C Petrioli

  • D Spenza

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