Improving energy efficiency of personal sensing applications with heterogeneous multi-processors

UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2012, Pages 1-10

  Ra, Moo Ryong ^a   Priyantha, Bodhi ^b   Kansal, Aman ^b   Liu, Jie ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BATTERY LIFE; CONTEXT AWARE APPLICATIONS; DESIGN CONSIDERATIONS; LOW POWER PROCESSORS; MULTI-PROCESSORS; MULTIPLE SENSORS; PHONE PLATFORMS; PROBLEM SPACE; SENSING APPLICATIONS; USER CONTEXT;

ENERGY EFFICIENCY; UBIQUITOUS COMPUTING;

MOBILE DEVICES;

EID: 84867442517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370216.2370218     Document Type: Conference Paper

References (33)

1. R. K. Balan, D. Gergle, M. Satyanarayanan, and J. Herbsleb. "Simplifying Cyber Foraging for Mobile Devices". In MobiSys, 2007.
2. L. Benini and G. d. Micheli. System-level power optimization: techniques and tools. ACM Trans. Des. Autom. Electron. Syst., 5:115-192, April 2000.
3. G. Challen and M. Hempstead. The case for poweragile computing. In HotOS, 2011.
4. M.-C. Chiu, S.-P. Chang, Y.-C. Chang, H.-H. Chu, C. C.-H. Chen, F.-H. Hsiao, and J.-C. Ko. Playful bottle: a mobile social persuasion system to motivate healthy water intake. In Ubicomp, 2009.
5. T. Choudhury et al. The mobile sensing platform: An embedded system for activity recognition. IEEE Pervasive Magazine, 7(2):32-41, April 2008.
6. S. Consolvo, P. Klasnja, D. W. McDonald, D. Avrahami, J. Froehlich, L. LeGrand, R. Libby, K. Mosher, and J. A. Landay. Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays. In UbiComp '08, 2008.
7. E. Cuervo, A. Balasubramanian, D.-k. Cho, A. Wolman, S. Saroiu, and P. Chandra, Ranveer and Bahl. "MAUI: Making Smartphones Last Longer with Code Offload". In MobiSys, 2010.
8. V. Devadas and H. Aydin. Real-time dynamic power management through device forbidden regions. In IEEE RTAS, 2008.
9. J. Froehlich, M. Y. Chen, S. Consolvo, B. Harrison, and J. A. Landay. Myexperience: a system for in situ tracing and capturing of user feedback on mobile phones. In MobiSys, 2007.
10. M. Goraczko, J. Liu, D. Lymberopoulos, S. Matic, B. Priyantha, and F. Zhao. Energy-optimal software partitioning in heterogeneous multiprocessor embedded systems. In DAC, 2008.
11. S. Kang, J. Lee, H. Jang, H. Lee, Y. Lee, S. Park, T. Park, and J. Song. Seemon: scalable and energy-efficient context monitoring framework for sensor-rich mobile environments. In MobiSys, 2008.
12. J. A. Kientz and G. D. Abowd. Kidcam: Toward an effective technology for the capture of children's moments of interest. In Pervasive, 2009.
13. D. H. Kim, Y. Kim, D. Estrin, and M. B. Srivastava. Sensloc: sensing everyday places and paths using less energy. In SenSys, 2010.
14. N. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. Campbell. A survey of mobile phone sensing. IEEE Communications Magazine, 48(9):140 -150, sept. 2010.
15. M. L. Lee and A. K. Dey. Lifelogging memory appliance for people with episodic memory impairment. In UbiComp, 2008.
16. J. Lester, T. Choudhury, and G. Borriello. A practical approach to recognizing physical activities. In Pervasive, 2006.
17. J. Lester, C. Hartung, L. Pina, R. Libby, G. Borriello, and G. Duncan. Validated caloric expenditure estimation using a single body-worn sensor. In Ubicomp '09, 2009.
18. F. X. Lin, Z. Wang, R. LiKamWa, and L. Zhong. Reflex: Using low-power processors in smartphones without knowing them. In ASPLOS, 2012.
19. H. Lu, A. Bernheim Brush, B. Priyantha, A. Karlson, and J. Liu. SpeakerSense: energy efficient unobtrusive speaker identification. In Pervasive, 2011.
20. H. Lu, W. Pan, N. D. Lane, T. Choudhury, and A. T. Campbell. Soundsense: scalable sound sensing for people-centric applications on mobile phones. In MobiSys, 2009.
21. H. Lu, J. Yang, Z. Liu, N. D. Lane, T. Choudhury, and A. T. Campbell. The jigsaw continuous sensing engine for mobile phone applications. In SenSys, 2010.
22. T. Maekawa, Y. Yanagisawa, Y. Kishino, K. Ishiguro, K. Kamei, Y. Sakurai, and T. Okadome. Object-based activity recognition with heterogeneous sensors on wrist. 6030:246-264, 2010.
23. E. Miluzzo, C. T. Cornelius, A. Ramaswamy, T. Choudhury, Z. Liu, and A. T. Campbell. Darwin phones: the evolution of sensing and inference on mobile phones. In MobiSys, 2010.
24. P. Mohan, V. N. Padmanabhan, and R. Ramjee. "Nericell: rich monitoring of road and traffic conditions using mobile smartphones". In SenSys'08, Nov. 2008.
25. R. Newton, S. Toledo, L. Girod, H. Balakrishnan, and S. Madden. Wishbone: Profile-based Partitioning for Sensornet Applications. In NSDI, April 2009.
26. N. Oliver and F. Flores-Mangas. Healthgear: a real-time wearable system for monitoring and analyzing physiological signals. In BSN, 2006.
27. T. Park, J. Lee, I. Hwang, C. Yoo, L. Nachman, and J. Song. E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. In SenSys, 2011.
28. B. Priyantha, D. Lymberopoulos, and J. Liu. LittleRock: Enabling energy-efficient continuous sensing on mobile phones. IEEE Pervasive Computing, 10(2):12-15, Feb. 2011.
29. M.-R. Ra, A. Sheth, L. Mummert, P. Pillai, D. Wetherall, and R. Govindan. Odessa: enabling interactive perception applications on mobile devices. In MobiSys, 2011.
30. K. K. Rachuri, M. Musolesi, C. Mascolo, P. J. Rentfrow, C. Longworth, and A. Aucinas. Emotionsense: a mobile phones based adaptive platform for experimental social psychology research. In Ubicomp, 2010.
31. G. Raffa, J. Lee, L. Nachman, and J. Song. Don't slow me down: Bringing energy efficiency to continuous gesture recognition. In ISWC, pages 1-8. IEEE, 2010.
32. TI. OMAP 5 mobile application platform. 2011.
33. G. Yavuz, M. Kocak, G. Ergun, H. O. Alemdar, H. Yalcin, O. D. Incel, and C. Ersoy. A Smartphone Based Fall Detector with Online Location Support. In PhoneSense, 2010.