Modeling and managing energy consumption of mobile devices

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Siekkinen, Matti, Dr.
dc.contributor.author Xiao, Yu
dc.date.accessioned 2012-09-04T07:15:27Z
dc.date.available 2012-09-04T07:15:27Z
dc.date.issued 2011
dc.identifier.isbn 978-952-60-4430-9 (PDF)
dc.identifier.isbn 978-952-60-4429-3 (printed)
dc.identifier.issn 1799-4942
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/5096
dc.description.abstract Thanks to the significant improvement in the processing and networking capabilities of mobile devices, mobile devices today can run applications that require complex computation and high network bandwidth. As these applications become ever more popular, a rise is seen in the energy demand that is generated by a typical usage of mobile devices, with the result that existing battery technology is not able to satisfy the growing demand. Improving the energy efficiency of mobile devices and applications has, therefore, become essential. In this thesis, we investigate the energy consumption of mobile devices and propose practical solutions for improving the energy efficiency of wireless data transmission. We propose power models of wireless data transmission over Wi-Fi and show how the power consumption is related to power-saving mechanisms, to Internet traffic characteristics, and to the network throughput. We utilize the linear dependency of transmission costs on network throughput in order to extend the linear regression power models from microprocessor level to system level. These power models provide us with an insight into developing software with energy-efficient wireless data transmission. In this thesis, we present three strategies for reducing transmission cost: applying lossless data compression to network traffic data, scheduling the transmission based on the prediction of network conditions, and power management of the wireless network interface based on the predicted traffic intervals. Our strategies consider the trade-offs between computational and transmission costs, and between energy consumption and transmission performance. In addition, we apply statistical methods for implementing prediction utilities. Finally, considering the complexity in the context collection and processing, we propose an event-driven framework that can be used for implementing, deploying and managing various energy-efficient strategies on mobile platforms. en
dc.format.extent Verkkokirja (1047 KB, 66 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University en
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS , 139/2011 en
dc.relation.haspart [Publication 1]: Yu Xiao, Petri Savolainen, Arto Karppanen, Matti Siekkinen, and Antti Ylä-Jääski. Practical Power Modeling of Data Transmission Over 802.11g for Wireless Applications. In Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, Passau, Germany, 75-84, April 2010. en
dc.relation.haspart [Publication 2]: Yu Xiao, Rijubrata Bhaumik, Zhirong Yang, Matti Siekkinen, Petri Savolainen, and Antti Ylä-Jääski. A System-Level Model for Runtime Power Estimation on Mobile Devices. In Proceedings of 2010 IEEE/ACM International Conference on Green Computing and Communications & 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, Hangzhou, China, 27-34, December 2010. © 2010 Institute of Electrical and Electronics Engineers (IEEE). By permission. en
dc.relation.haspart [Publication 3]: Yu Xiao, Matti Siekkinen, Antti Ylä-Jääski. Framework for Energy-Aware Lossless Compression in Mobile Services: The Case of E-Mail. In Proceedings of 2010 IEEE International Conference on Communications, Cape Town, South Africa, 1-6, May 2010. © 2010 Institute of Electrical and Electronics Engineers (IEEE). By permission. en
dc.relation.haspart [Publication 4]: Ramya Sri Kalyanaraman, Yu Xiao, Antti Ylä-Jääski. Network Prediction for Energy-aware Transmission in Mobile Applications. International Journal on Advances in Telecommunications, issn 1942-2601, Vol.3, no.1&2, 72-82, September 2010. © 2010 by authors. en
dc.relation.haspart [Publication 5]: Yu Xiao, Wei Li, Matti Siekkinen, Petri Savolainen, Antti Ylä-Jääski, Pan Hui. Power Management for Mobile Devices Using Complex Event Processing. Aalto University publication series SCIENCE+TECHNOLOGY Aalto-ST 26/2011, 1-27, 2011. © 2011 by authors. en
dc.subject.other Telecommunications engineering
dc.title Modeling and managing energy consumption of mobile devices en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.department Tietotekniikan laitos fi
dc.contributor.department Department of Computer Science and Engineering en
dc.subject.keyword power management en
dc.subject.keyword power modeling en
dc.subject.keyword mobile devices en
dc.identifier.urn URN:ISBN:978-952-60-4430-9
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.supervisor Ylä-jääski, Antti, Prof.


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