Implantable biomedical sensors and actuators are highly desired in modern medicine. In many cases, the implant's electrical power source profoundly determines its overall size and performance . The inductively coupled coil pair operating at the radio-frequency (RF) has been the primary method for wirelessly delivering electrical power to implants for the last three decades . Recent designs significantly improve the power delivery efficiency by optimizing the operating frequency, coil size and coil distance . However, RF radiation hazard and tissue absorption are the concerns in the RF wireless power transfer technology (RF-WPTT) , . Also, it requires an accurate impedance matching network that is sensitive to operating environments between the receiving coil and the load for efficient power delivery . In this paper, a novel low-frequency wireless power transfer technology (LF-WPTT) using rotating rare-earth permanent magnets is demonstrated. The LF-WPTT is able to deliver 2.967 W power at  ∼ 180 Hz to an 117.1 Ω resistor over 1 cm distance with 50% overall efficiency. Because of the low operating frequency, RF radiation hazard and tissue absorption are largely avoided, and the power delivery efficiency from the receiving coil to the load is independent of the operating environment. Also, there is little power loss observed in the LF-WPTT when the receiving coil is enclosed by non-magnetic implant-grade stainless steel.

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Abstract-The field of Wireless sensor networks is an evergrowing one. Small, low-cost, low-power sensors that can be deployed in numerous locations prove to be highly beneficial. The intent of this paper is to propose a way of monitoring the environment using low-cost, low-power sensors that function is a tiny yet robust environment.A Wireless Sensor Network using Arduino and Raspberry Pi for remote Environment Monitoring is built to monitor Atmospheric factors like Temperature, Humidity and Pressure are measured using XBee sensor nodes, which transmit the sensor data to a central data aggregator node which is the Arduino. A lightweight web server built on the Arduino displays this information on a web page. Another remote data aggregator node, in the form of MySQL server is configured on a Raspberry Pi, and the sensor data is stored onto this database server as well. Sensor data is available for local and remote access. This MySQL server can also be viewed and controlled using an Android App. IndexTerms-Arduino, wireless sensor network, environment, Raspberry Pi, MySQL.