Generic and Energy-Efficient Context-Aware Mobile Sensing: 1st Edition (e-Book) book cover

Generic and Energy-Efficient Context-Aware Mobile Sensing

1st Edition

By Ozgur Yurur, Chi Harold Liu

CRC Press

221 pages

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Hardback: 9781498700108
pub: 2015-02-02
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eBook (VitalSource) : 9780429162886
pub: 2015-02-02
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Elaborating on the concept of context awareness, this book presents up-to-date research and novel framework designs for context-aware mobile sensing. Generic and Energy-Efficient Context-Aware Mobile Sensing proposes novel context-inferring algorithms and generic framework designs that can help readers enhance existing tradeoffs in mobile sensing,

Table of Contents

Context Awareness for Mobile Sensing. Context Inference: Posture Detection. Context-Aware Framework: A Basic Design. Energy Efficiency in Physical Hardware. Context-Aware Framework: A Complex Design. Probabilistic Context Modeling.

About the Authors

Ozgur Yurur received a double major from the Department of Electronics Engineering and the Department of Computer Engineering at Gebze Institute of Technology, Kocaeli, Turkey, in 2008, and MSEE and PhD from the Department of Electrical Engineering at the University of South Florida (USF), Tampa, Florida, in 2010 and 2013, respectively. He is currently with RF Micro Devices, responsible for the research and design of new test development strategies and also for the implementation of hardware, software, and firmware solutions for 2G, 3G, 4G, and wireless-based company products. In addition, Dr. Yurur conducts research in the field of mobile sensing. His research area covers ubiquitous sensing, mobile computing, machine learning, and energy-efficient optimal sensing policies in wireless networks. The main focus of his research is on developing and implementing accurate, energy-efficient, predictive, robust, and optimal context-aware algorithms and framework designs on sensor-enabled mobile devices.

Chi Harold Liuis a full professor at the School of Software, Beijing Institute of Technology, China. He is also the deputy director of IBM Mainframe Excellence Center (Beijing), director of IBM Big Data Technology Center, and director of National Laboratory of Data Intelligence for China Light Industry. He holds a PhD from Imperial College, United Kingdom, and a BEng from Tsinghua University, China. Before moving to academia, he joined IBM Research, China, as a staff researcher and project manager and was previously a postdoctoral researcher at Deutsche Telekom Laboratories, Germany, and a visiting scholar at IBM T. J. Watson Research Center, Armonk, New York. Dr. Liu's current research interests include the Internet of Things (IoT), big data analytics, mobile computing, and wireless ad hoc, sensor, and mesh networks. He received the IBM First Plateau Invention Achievement Award in 2012 and an IBM First Patent Appli

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Networking / General
COMPUTERS / Software Development & Engineering / Systems Analysis & Design