The ultimate goal of low-power distributed embedded systems is to develop devices which are able to operate unattended for years. Micro-energy harvesting systems can scavenge milliwatts from solar, thermal and vibrational sources and are considered as the breakthrough which will revolutionize ultra-low power systems, wireless sensor networks (WSN) and pervasive applications. This paper will demonstrate that muW harvesters are capable to power systems for operation at extremely low power levels. In particular we deal with musolar-scavengers of some mm2 which address the small energy budget optimizing the efficiency of energy collection even when tracking the maximum power point (MPP) becomes difficult and burdensome to implement. Simulations and experimental results show the impact of light intensity variations on the activity of the sensor node.
Designing and managing sub-milliwatt energy harvesting nodes: Opportunities and challenges / Brunelli D.; Benini L.. - STAMPA. - (2009), pp. 11-15. (Intervento presentato al convegno Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, 2009. Wireless VITAE 2009. 1st International Conference on tenutosi a Aalborg, Denmark nel 17-20 May 2009).
Designing and managing sub-milliwatt energy harvesting nodes: Opportunities and challenges
BRUNELLI, DAVIDE;BENINI, LUCA
2009
Abstract
The ultimate goal of low-power distributed embedded systems is to develop devices which are able to operate unattended for years. Micro-energy harvesting systems can scavenge milliwatts from solar, thermal and vibrational sources and are considered as the breakthrough which will revolutionize ultra-low power systems, wireless sensor networks (WSN) and pervasive applications. This paper will demonstrate that muW harvesters are capable to power systems for operation at extremely low power levels. In particular we deal with musolar-scavengers of some mm2 which address the small energy budget optimizing the efficiency of energy collection even when tracking the maximum power point (MPP) becomes difficult and burdensome to implement. Simulations and experimental results show the impact of light intensity variations on the activity of the sensor node.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
