Energy efficiency of mobile handsets: Measuring user attitudes and behavior

Telematics and Informatics

Volumn 29, Issue 4, 2012, Pages 387-399

  Heikkinen, Mikko V J ^a,b   Nurminen, Jukka K ^a,b   Smura, Timo ^a,b   Hämmäinen, Heikki ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b Department of Communications and Networking ^*  (Finland)

Author keywords

Attitude; Battery; Behavior; Energy; Mobile

Indexed keywords

ATTITUDE; BATTERY; BEHAVIOR; ENERGY; MOBILE;

ENERGY EFFICIENCY; ENERGY UTILIZATION;

BEHAVIORAL RESEARCH;

EID: 84863982341     PISSN: 07365853     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tele.2012.01.005     Document Type: Article

References (43)

1. W. Abrahamse, L. Steg, C. Vlek, and T. Rothengatter The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents Journal of Environmental Psychology 27 2007 265 276 10.1016/j.jenvp.2007.08.002
2. Anand, A., Manikopoulos, C., Jones, Q., Borcea, C., 2007. A quantitative analysis of power consumption for location-aware applications on smart phones. In: Proc. IEEE International Symposium on Industrial, Electronics, pp. 1986-1991. doi:10.1109/ISIE.2007.4374912.
3. Balasubramanian, N., Balasubramanian, A., Venkataramani, A., 2009. Energy consumption in mobile phones: a measurement study and implications for network applications. In: Proc. ACM Internet Measurement Conference, pp. 280-293. doi:10.1145/1644893.1644927.
4. Baliga, J., Hinton, K., Tucker, R.S., 2007. Energy consumption of the Internet. In: 32nd Australian Conference on Optical Fibre Technology. doi:10.1109/COINACOFT.2007.4519173.
5. N. Banerjee, A. Rahmati, M.D. Corner, S. Rollins, and L. Zhong Users and batteries: interactions and adaptive energy management in mobile systems J. Krumm, UbiComp 2007 Springer Berlin 217 234 10.1007/978-3-540-74853-3-13
6. L. Bloom, R. Eardley, E. Geelhoed, M. Manahan, and P. Ranganathan Investigating the relationship between battery life and user acceptance of dynamic, energy-aware interfaces on handhelds S. Brewster, M. Dunlop, Mobile Human-Computer Interaction 2004 Springer Berlin 13 24 10.1007/978-3-540-28637-0- 2
7. Bunse, C., Hopfner, H., Mansour, E., Roychoudhury, S., 2009. Exploring the energy consumption of data sorting algorithms in embedded and mobile environments. In: Proc. 10th International Conference on Mobile Data Management, pp. 600-607. doi:10.1109/MDM.2009.103.
8. N. Eagle, and A. Pentland Reality mining: sensing complex social systems Personal and Ubiquitous Computing 10 2006 255 268 10.1007/s00779-005-0046-3
9. Etoh, M., Ohya, T., Nakayama, Y., 2008. Energy consumption issues on mobile network systems. In: International Symposium on Applications and the Internet. doi:10.1109/SAINT.2008.84.
10. Feeney, L.M., Nilsson, M., 2001. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In: Proc. 20th Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 1548-1557. doi:10.1109/INFCOM.2001.916651.
11. A. Fehske, G. Fettweis, J. Malmodin, and G. Biczok The global footprint of mobile communications: the ecological and economic perspective IEEE Communications Magazine 49 2011 55 62 10.1109/MCOM.2011.5978416
12. Gupta, A., Mohapatra, P., 2007. Energy consumption and conservation in WiFi based phones: a measurement-based study. In: Proc. Fourth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, pp. 122-131. doi:10.1109/SAHCN.2007.4292824.
13. Gurun, S., Nagpurkar, P., Zhao, B.Y., 2006. Energy consumption and conservation in mobile peer-to-peer systems. In: Proc. First International Workshop on Decentralized Resource Sharing in Mobile Computing and Networking, pp. 18-23. doi:10.1145/1161252.1161258.
14. Hämmäinen, H., Verkasalo, H., Kumar, K.R.R., 2009. Flat-rate pricing for international mobile data roaming. In: EuroCPR.
15. Harter, T., Vroegindeweij, S., Geelhoed, E., Manahan, M., Ranganathan, P., 2004. Energy-aware user interfaces: an evaluation of user acceptance. In: Proc. SIGCHI Conference on Human Factors in Computing Systems, pp. 199-206. doi:10.1145/985692.985718.
16. Hawley, J., Economou, M., 2010. Trends in energy efficiency regulations and initiatives for consumer external power supplies. In: IEEE International Symposium on Sustainable Systems and Technology. doi:10.1109/ISSST.2010.5507733.
17. Heikkinen, M.V.J., Nurminen, J.K., 2009. Consumer attitudes towards different aspects of mobile peer-to-peer services. In: Proc. First International Conference in P2P Systems, pp. 132-137. doi:10.1109/AP2PS.2009.28.
18. Heikkinen, M.V.J., Nurminen, J.K., 2010. Consumer attitudes towards energy consumption of mobile phones and services. In: IEEE Vehicular Technology Conference. doi:10.1109/VETECF.2010.5594115.
19. D. Kahneman, and A. Tversky Prospect theory: an analysis of decision under risk Econometrica 47 1979 263 291 10.2307/1914185
20. Karikoski, J., Nelimarkka, M., 2010. Measuring social relations: case OtaSizzle. In: Proc. IEEE International Conference on Social Computing, pp. 257-263. doi:10.1109/SocialCom.2010.43.
21. Kassinen, O., Harjula, E., Korhonen, J., Ylianttila, M., 2009. Battery life of mobile peers with UMTS and WLAN in a Kademlia-based P2P overlay. In: Proc. 20th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 662-665. doi:10.1109/PIMRC.2009.5450083.
22. Kelenyi, I., Nurminen, J.K., 2008. Optimizing energy consumption of mobile nodes in heterogeneous Kademlia-based distributed hash tables. In: Proc. Second International Conference on Next Generation Mobile Applications, Services and Technologies, pp. 70-75. doi:10.1109/NGMAST.2008.59.
23. Kelenyi, I., Nurminen, J.K., 2008. Energy aspects of peer cooperation measurements with a mobile DHT system. In: Proc. IEEE International Conference on Communications Workshops, pp. 164-168. doi:10.1109/ICCW.2008.36.
24. Kivi, A., 2009. Mobile handset population in Finland 2005-2008. TKK Helsinki University of Technology. < http://www.netlab.tkk.fi/~jakivi/ publications/Kivi-Mobile-Handset-Population-2005-2008.pdf > (accessed 18.04.11).
25. J.G. Koomey Worldwide electricity used in data centers Environmental Research Letters 3 2008 10.1088/1748-9326/3/3/034008
26. Mahmud, K., Inoue, M., Murakami, H., Hasegawa, M., Morikawa, H., 2004. Measurement and usage of power consumption parameters of wireless interfaces in energy-aware multi-service mobile terminals. In: Proc. 15th IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications, pp. 1090-1094. doi:10.1109/PIMRC.2004.1373867.
27. L.T. McCalley, and C.J.H. Midden Energy conservation through product-integrated feedback: the roles of goal-setting and social orientation Journal of Economic Psychology 23 2002 589 603 10.1016/S0167-4870(02)00119-8
28. Nurminen, J.K., Noyranen, J., 2008. Energy-consumption in mobile peer-to-peer - quantitative results from file sharing. In: Proc. Fifth Consumer Communications and Networking Conference, pp. 729-733. doi:10.1109/ccnc08.2007. 167.
29. A. Odlyzko Internet pricing and the history of communications Computer Networks 36 2011 493 517 10.1016/S1389-1286(01)00188-8
30. K. Pentikousis In search of energy-efficient mobile networking IEEE Communications Magazine 48 2010 95 103 10.1109/MCOM.2010.5394036
31. Portelligent, 2009. < http://www.teardown.com/ > (accessed 15.04.09).
32. Preist, C., Shabajee, P., 2010. Energy use in the media cloud: behaviour change or technofix. In: Proc. Second IEEE International Conference on Cloud Computing Technology and Science, pp. 581-586. doi:10.1109/CloudCom.2010.40.
33. A. Rahmati, and L. Zhong Human-battery interaction on mobile phones Pervasive and Mobile Computing 5 2008 465 477 10.1016/j.pmcj.2008.08.003
34. Ravi, N., Scott, J., Han, L., Iftode, L., 2008. Context-aware battery management for mobile phones. In: Proc. Sixth Annual IEEE International Conference on Pervasive Computing and Communications, pp. 224-233. doi:10.1109/PERCOM.2008.108.
35. Robinson, S., 2009. Cellphone energy gap: desperately seeking solutions, Strategy Analytics.
36. C. Robson Real World Research second ed. 2002 Blackwell Cornwall
37. Smura, T., 2008. Access alternatives to mobile services and content: analysis of handset-based smartphone usage data. In: ITS 17th Biennal Conference. < http://www.canavents.com/its2008/abstracts/140.pdf > (accessed 18.04.11).
38. T. Smura, A. Kivi, and J. Töyli A framework for analysing the usage of mobile services INFO 11 2009 53 67 10.1108/14636690910970973
39. Somavat, P., Jadhav, S., Namboodiri, V., 2010. Accounting for the energy consumption of personal computing including portable devices. In: Proc. First International Conference on Energy-Efficient Computing and Networking, pp. 141-149. doi:10.1145/1791314.1791337.
40. K.S. Vallerio, L. Zhong, and N.K. Jha Energy-efficient graphical user interface design IEEE Transactions on Mobile Computing 5 2006 846 859 10.1109/TMC.2006.97
41. H. Verkasalo Analysis of mobile Internet usage among early-adopters INFO 11 2009 68 82 10.1108/14636690910970982
42. Xiao, Y., Kalyanaraman, R.S., Yla-Jaaski, A., 2008. Energy consumption of mobile YouTube: quantitative measurement and analysis. In: Proc. The Second International Conference on Next Generation Mobile Applications, Services and Technologies, pp. 61-69. doi:10.1109/NGMAST.2008.26.
43. Yu, Y., Bhatti, S., 2010. Energy measurement for the cloud. In: Proc. International Symposium on Parallel and Distributed Processing with Applications, pp. 619-624. doi:10.1109/ISPA.2010.29.