Sunlight is one of the most frequently used ambient energy sources for energy harvesting in
wireless sensor networks. Although virtually unlimited, solar radiation experiences …

Solar irradiance prediction is a major issue in energy harvesting enabled WSNs. In this
paper, we use Markov chains of increasing order to propose a new model-referred to as …

Abstract Energy harvesting facilitates Wireless Sensor Networks (WSN) to work in perpetual
mode. But, the amount and duration of green energy depend on the unpredictable behavior …

There is high interest in up-scaling capacities of renewable energy sources such as wind
and solar. However, variability and uncertainty in power output is a major concern and …

Energy harvesting from the surrounding environment has been a superior way of eliminating
the burden of having to replace depleted batteries in wireless sensor networks (WSNs) …

Harvesting energy from solar radiation has emerged as an effective approach to prolong the
lifetime of outdoor energy harvesting sensor networks. The harvested energy must be …

Solar energy harvesting constitutes an attractive solution to provide energy for
communicating objects. The advantage of this energy over other forms of renewable energy …

We review harvested energy prediction schemes to be used in wireless sensor networks
and explore the relative merits of landmark solutions. We propose enhancements to the well …

Solar energy harvesting (EH) is one of the best promising approaches toward perpetual
network operation, and it is implemented in various regions of interest (RoIs). However …

Wireless sensor networks equipped with rechargeable batteries are useful for outdoor
environmental monitoring. However, the severe energy constraints of the sensor nodes …