Download CMOS Indoor Light Energy Harvesting System for Wireless by Carlos Manuel Ferreira Carvalho, Nuno Filipe Silva Veríssimo PDF

By Carlos Manuel Ferreira Carvalho, Nuno Filipe Silva Veríssimo Paulino

This publication discusses intimately the CMOS implementation of strength harvesting. The authors describe an built-in, indoor gentle strength harvesting procedure, in accordance with a controller circuit that dynamically and instantly adjusts its operation to satisfy the particular gentle situations of our surroundings the place the approach is positioned. The process is meant to energy a sensor node, allowing an self reliant instant sensor community (WSN). even though designed to deal with indoor mild degrees, the method can also be capable of paintings with larger degrees, making it an all-round mild power harvesting approach. The dialogue contains experimental information received from an built-in synthetic prototype, which together with a photovoltaic (PV) cellphone, serves as an explanation of notion of the specified strength harvesting system.

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Then, the gathered data can start to flow among nodes, by using the wireless communication interface, and finally, it can be transmitted to the monitoring center. Then, the data can be processed and analyzed by the monitoring host computer, to provide visual information for forestry experts or for whichever decisions that should be taken or alarms that should be activated. Each node is put to work by using a low duty cycle and uses solar energy harvested by a PV cell in order to charge a rechargeable battery.

1 Available Energy Sources 25 Fig. 12 Photovoltaic solar electricity potential of Europe and some zones of the Middle East and the North of Africa (PVGIS © European Union 2001–2012) [54, 55] In indoor energy harvesting applications, the amount of light energy that is available is, however, much more reduced. The available light energy in indoors can vary significantly, since the light from the Sun is attenuated and can be mixed with artificial light. 833 W/m2 (100 lux converted to W/m2 using [56]) in a lightly dimmed room [57], or 10 W/m2, when the PV cells are placed very close to lamps [58].

Instead of being just one of the nodes dedicated to that purpose, each node was given the capability to be a gateway. As this is a much power consuming function, and since transmission is not performed during all the time, different nodes, at each time, serve as a radio interface between the WBAN and the backbone of the healthcare network. 2 Forest Surveillance and Monitoring Another scenario in which a WSN proves useful is in forest monitoring, for prevention of forest fires. Under this purpose, [78] presents a network whose nodes have their computational capability based on a microcontroller.

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