Energy Harvesting and Power Management for Autonomous Sensor Nodes

Wireless sensor nodes that are self-powered by extracting their energy from their environment are a new opportunity for monitoring purpose. Since the available energy is not constant over time and due to very low harvested power levels, efficient energy and power management strategies are mandatory for improving their autonomy. At system level, scheduling algorithms are proposed to efficiently use multi power path architectures and avoid as much as possible the use of batteries. A data- and energy-driven architecture and its associated algorithm are presented achieving high efficiency due to fully adaptive scheme.