RESEARCHERS DEVELOP MEMS VIBRATIONAL ENERGY HARVESTERS FOR IOT SYSTEMS

IoTΒ systems are very well known these days as they allow connection and exchange of data through the internet. The Internet of Things (IoT) systems consist of a network of sensors, actuators, software, and other technologies connected.

RESEARCHERS DEVELOP MEMS VIBRATIONAL ENERGY HARVESTERS FOR IOT SYSTEMS

Due to increasing design specifications and the need for compactness, dependence on energy sources like solar is not feasible. We need compact solutions which can deliver enough power to our IoT circuits. IoT wireless sensors consume a peak power of around tens ofΒ milliwatt.Β But if we schedule the transmission and reception in some intervals, we can bring it in the order of a few hundred microwatts.

Microelectromechanical systems (MEMS) is the most suitable technology to realize IoT-sensing nodes because it enables integrated fabrication of sensors/actuators, electronic circuits for information processing and radio frequency communication, antennas, and energy harvesters on a single chip or in a package. Low power transmitter and receiver networks with onboardΒ MEMs energy harvestingΒ systems can independently generate power for themselves. In this way, the level of connection can be further developed without having to worry about power requirements. MEMS refers to Microelectromechanical systems. It is a technology that consists of micro-electro-mechanical devices and structures that are made using microfabrication. MEMS energy harvesting means taking advantage of vibrations and other mechanical effects and converting them into electrical power.

Hiroshi ToshiyoshiΒ from the University of Tokyo and his colleagues recently published their study on MEMS vibrational energy harvesters. In this paper, researchers look into the fundamental mechanism to retrieve the power from physical vibrations by using microelectromechanical systems (MEMS) energy harvesters. They discuss the deliverable power they recorded and the mechano-electric power conversion techniques like electrostatic induction, electromagnetic induction, and piezoelectric effect.

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