Green Mobile Devices and Networks

Energy Optimization and Scavenging Techniques. Sprachen: Englisch. 24,0 cm / 16,1 cm / 2,6 cm ( B/H/T )
Buch (Hardcover), 408 Seiten
EAN 9781439859896
Veröffentlicht März 2012
Verlag/Hersteller CRC Press

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Beschreibung

This book provides authoritative insight into the principles and technical challenges behind automatic optimization of energy consumption and energy gathering from alternative environmental sources. It introduces the basic background, motivation, and principles of various technologies-supplying detailed and integrated coverage of different optimization and energy scavenging techniques. Examining the technical challenges behind automatic optimization of energy consumption in dynamic real-time scenarios, the text describes the various technologies behind harvesting energy through different sources, including solar, acoustics, kinetic, mechanical vibrations, and electromagnetic waves.

Portrait

Hrishikesh Venkataraman, PhD, is a senior researcher and Enterprise Ireland (EI) principal investigator with Performance Engineering Laboratory at the Irish national research center-The RINCE Institute, at Dublin City University (DCU), Ireland. He obtained his PhD from Jacobs University Bremen, Germany, in 2007, for his research on wireless cellular networks. He obtained his master's degree from Indian Institute of Technology (IIT) in Kanpur, India, in 2004, and did his master's thesis from Vodafone Chair for Mobile Communications, Technical University Dresden, Germany, in 2003-2004 under the Indo-German DAAD (Deutscher Akademischer Austausch Dienst) Fellowship. His research interests include mobile multimedia, wireless communications, and energy in wireless. Dr. Venkataraman has published more than 30 papers in journals, international conferences, and book chapters, and has won a Best Paper Award at an international conference at the University of Berkeley, California, in October 2009. Currently, Dr. Venkataraman is an executive editor of European Transactions on Telecommunications (ETT) and is a founding member of the UKRI (United Kingdom/Republic of Ireland) chapter of the IEEE (Institute of Electrical and Electronics Engineers) Vehicular Technology Society. Gabriel-Miro Muntean, PhD, has established a strong track record in the areas of quality-oriented and performance-aware adaptive multimedia streaming and data communications in heterogeneous wireless environments. Dr. Muntean has been the co-director of a 10-person research laboratory since 2003, which is a state-of-the-art facility at the Dublin City University (DCU) Engineering building and well equipped for multimedia delivery research. He has successfully supervised three PhD and three masters for research students, and is currently supervising seven postgraduate researchers and one postdoctoral researcher. Dr. Muntean has received more than 1 million Euro of funding, having been principal investigator on two EI (Enterprise Ireland), one SFI (Science Foundation Ireland), and five IRCSET (Irish Research Council for Science, Engineering, and Technology) grants and collaborator on two other major Irish grants. In addition, he has been leading Samsung and Microsoft funded research projects. Dr. Muntean has authored one book, edited two, and has published five book chapters as well as 25 journal articles and more than 60 conference papers. He has been awarded four Best Paper Awards and is an associate editor for IEEE Transactions on Broadcasting.

Inhaltsverzeichnis

OPTIMIZATION TECHNIQUES. Energy Management for Location-Based Services on Mobile Devices. Energy Efficient Supply of Mobile Devices. Energy Cost of Software Applications on Portable Wireless Devices. Striking a Balance between Energy Conservation and QoS Provision for VoIP in WiMAX Systems. QoE-Based Energy Conservation for VoIP Applications in WLAN. Minimum Energy Multicriteria Relay Selection in Mobile Ad Hoc Networks. Energy Optimization Techniques for Wireless Sensor Networks. SCAVENGING TECHNIQUES. Design Issues in EM Energy Harvesting Systems. Energy Scavenging for Magnetically Coupled Communication Devices. Mixed-Signal, Low-Power Techniques in Energy Harvesting Systems. Toward Modeling Support for Low-Power and Harvesting Wireless Sensors for Realistic Simulation of Intelligent Energy-Aware Middleware. Energy Consumption Profile for Energy Harvested WSNs. Radio Frequency Energy Harvesting and Management for Wireless Sensor Networks.

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