
Smartphone Energy Consumption
Modeling and Optimization
Cambridge University Press
Published on 7. August 2014
Book
Hardback
350 pages
978-1-107-04233-9 (ISBN)
Description
With an ever-increasing number of applications available for mobile devices, battery life is becoming a critical factor in user satisfaction. This practical guide provides you with the key measurement, modeling, and analytical tools needed to optimize battery life by developing energy-aware and energy-efficient systems and applications. As well as the necessary theoretical background and results of the field, this hands-on book also provides real-world examples, practical guidance on assessing and optimizing energy consumption, and details of prototypes and possible future trends. Uniquely, you will learn about energy optimization of both hardware and software in one book, enabling you to get the most from the available battery power. Covering experimental system design and implementation, the book supports assignment-based courses with a laboratory component, making it an ideal textbook for graduate students. It is also a perfect guidebook for software engineers and systems architects working in industry.
Reviews / Votes
'Energy is a vital resource for mobile computing. This book gives a comprehensive treatment of energy from the viewpoint of battery-powered mobile devices. A broad range of topics is covered, and each topic is discussed in depth. This book will be a valuable resource for graduate students and mobile system engineers.' Mahadev Satyanarayanan, Carnegie Mellon UniversityMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
47 Tables, black and white; 99 Line drawings, unspecified
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 24 mm
Weight
790 gr
ISBN-13
978-1-107-04233-9 (9781107042339)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
08/2014
Cambridge University Press
€52.99
Available for download

Sasu Tarkoma | Matti Siekkinen | Eemil Lagerspetz
Smartphone Energy Consumption
Modeling and Optimization
E-Book
07/2014
1st Edition
Cambridge University Press
€61.99
Available for download
Persons
Sasu Tarkoma is a Full Professor in the Department of Computer Science at the University of Helsinki, Finland. He has worked in the IT industry as a consultant and chief system architect as well as principal researcher and laboratory expert at Nokia Research Center. His interests include mobile computing, Internet technologies and middleware. Matti Siekkinen is a teaching research scientist at Aalto University, Finland. He has co-authored over 40 scientific publications and his research interests include energy efficiency of mobile devices, network measurements and protocols. Eemil Lagerspetz is a doctoral student in the Department of Computer Science at the University of Helsinki. His research interests include mobile energy awareness, data analysis and cloud computing. He has published many scientific articles on mobile energy efficiency. Yu Xiao is currently a postdoctoral researcher in the Department of Computer Science and Engineering at Aalto University. Her research interests include energy-efficient wireless networking, mobile cloud computing and mobile crowd-sensing.
Author
University of Helsinki
Aalto University, Finland
University of Helsinki
Aalto University, Finland
Content
Part I. Understanding Energy Consumption: 1. Introduction; 2. Energy and power primer; 3. Smartphone batteries; 4. Energy measurement; 5. On human behavior and energy efficiency; Part II. Energy Management and Conservation: 6. Overview; 7. Smartphone subsystems; 8. Mobile operating systems; 9. Power modeling; 10. Power profilers; Part III. Advanced Energy Optimization: 11. Overview; 12. Traffic scheduling; 13. Exploiting multiple wireless network interfaces; 14. Mobile cloud offloading; 15. Example scenarios for energy optimization; 16. Future trends; Appendix A. An energy profile application.