Sultana Jahan Soheli; Maliha Mahbub Mila; Zonaed Ahmed
Abstract: Generally in case of Wireless sensor networks (WSNs) for energy scavenging and supplying purpose portable and limited energy source, such as batteries, power suppliers are used. Except energy, a sensor node is essentially useless and cannot contribute to the utility of the network as a whole. Thats why, substantial research efforts have been made on designing energy-efficient wireless sensor networking protocols to maximize the lifetime of nodes used in network to collect different types of data. As, there are different kinds of Wireless sensor networks applications where sensors nodes are required to operate for much long durations (like years or even decades) after they are deployed. Examples include environmental/habitat monitoring and structural health monitoring of critical infrastructures and buildings, where batteries are hard or impossible to replace or recharge. Then, different approaches has been made to empowering wireless sensor nodes is being studied, one of which is to convert the ambient energy from the environment into electricity to power the sensor nodes so they can quickly sense and transmit the data. In this paper, we propose a methodology for harvesting energy on sensor nodes from ambient sources like solar and wind harvester with maximum power point tracking for self-powered wireless sensor network (WSN) nodes. We focus on maximizing the harvesters efficiency in transferring energy from solar panel, wind mill to the energy storing device. This model predicts the instantaneous power collected by the panel helping the harvester design and optimization procedure. Experimental results based on the presented design guidelines demonstrate the effectiveness of the adopted methodology. This design procedure helps in boosting efficiency. The application also focus on how the ambient sources extend the battery life.
Keywords: WSN, ambient energy, PV cells, RFM's LPR2400ERA , LDO, FET