AN ADAPTIVE POWER MANAGEMENT SYSTEM FOR A 130nm BATTERY-LESS BODY SENSOR NETWORK NODE Yousef Shakhsheer, Benton Calhoun Dept. of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA Abstr

First Page		Document Content
Date: 2013-05-02 13:43:33 Wireless networking Technology Wireless sensor network Computing Computer networking Sensor node Data transmission Sensors Energy harvesting DPM Body area network NODE		AN ADAPTIVE POWER MANAGEMENT SYSTEM FOR A 130nm BATTERY-LESS BODY SENSOR NETWORK NODE Yousef Shakhsheer, Benton Calhoun Dept. of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA Abstr Add to Reading List Source URL: www.vsgc.odu.edu Download Document from Source Website File Size: 14,87 KB Share Document on Facebook

	1 Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors DocID: 1xVRV - View Document
	VISION Smart and Connected Flooring as a Service TECHNOLOGY · Embedded sensors in the flooring · AI methods for data treatment PRODUCT DocID: 1xVbT - View Document
	Call For Papers The International Workshop on Advances in Sensors and Interfaces is a premier Sensor and Interface design workshop aimed at bridging the gap between electronic design and integrated circuit technologies, DocID: 1xV2r - View Document
	The Web’s Sixth Sense: A Study of Scripts Accessing Smartphone Sensors Anupam Das Gunes Acar DocID: 1xUS6 - View Document
	Department of Informatics Continuous-Time Trajectory Estimation for Event-based Vision Sensors Elias Mueggler, Guillermo Gallego, Davide Scaramuzza {mueggler,guillermo.gallego,sdavide}@ifi.uzh.ch, http://rpg.ifi.uzh.ch DocID: 1xTYQ - View Document