Scheduling Recurring Tasks in Energy Harvesting Sensors
The authors consider the problem of periodic task scheduling in sensor nodes powered with energy harvesters. In particular, they focus on systems with stochastic energy sources such as solar panels, and they present two energy-aware scheduling algorithms that reduce the likelihood of task violations. Their algorithms, called Smooth To Average Method (STAM) and Smooth To Full Utilization (STFU), are static schedulers that do not require prescience of the incoming energy to operate effectively. A Wireless Sensor Network (WSN) consists of collaborating sensor nodes with capabilities of sensing, computation and communication. Wireless sensor networks can be deployed for a plethora of purposes such as habitat monitoring, earthquake detection, or healthcare.