ACE: Exploiting correlation for energy-efficient and continuous context sensing

MobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services

Volumn , Issue , 2012, Pages 29-42

  Nath, Suman ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

continuous context aware applications; rule based optimization; sensor rich mobile environment

Indexed keywords

CONTEXT ATTRIBUTES; CONTEXT AWARE APPLICATIONS; CONTEXT SENSING; ENERGY EFFICIENT; MOBILE ENVIRONMENTS; PROCESSING OVERHEAD; RAW SENSOR; RULE BASED; SECOND OPTIMIZATION; SENSOR DATA;

COMPUTER APPLICATIONS; MIDDLEWARE; SENSORS;

OPTIMIZATION;

EID: 84864330137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2307636.2307640     Document Type: Conference Paper

References (28)

1. AGRAWAL, R., IMIELIŃSKI, T., AND SWAMI, A. Mining association rules between sets of items in large databases. In ACM SIGMOD (1993).
2. AZIZYAN, M., CONSTANDACHE, I., AND ROY CHOUDHURY, R. Surroundsense: mobile phone localization via ambience fingerprinting. In ACM MobiCom (2009).
3. BANERJEE, N., AGARWAL, S., BAHL, P., CHANDRA, R., WOLMAN, A., AND CORNER, M. Virtual compass: Relative positioning to sense mobile social interactions. In Pervasive (2010).
4. CHOUJAA, D., AND DULAY, N. TRAcME: Temporal activity recognition using mobile phone data. In IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (2008).
5. CUERVO, E., BALASUBRAMANIAN, A., CHO, D., WOLMAN, A., SAROIU, S., CHANDRA, R., AND BAHL, P. Maui: making smartphones last longer with code offload. In MobiSys (2010).
6. DESHPANDE, A., GUESTRIN, C., HONG, W., AND MADDEN, S. Exploiting correlated attributes in acquisitional query processing. In ICDE (2005).
7. EAGLE, N., PENTLAND, A., AND LAZER, D. Inferring social network structure using mobile phone data. In Proceedings of the National Academy of Sciences (PNAS) (2009), vol. 106, pp. 15274-15278.
8. FICEK, M., AND KENCL, L. Spatial extension of the reality mining dataset. In International Conference on Mobile Adhoc and Sensor Systems (MASS) (2010).
9. GREINER, R., HAYWARD, R., JANKOWSKA, M., AND MOLLOY, M. Finding optimal satisficing strategies for and-or trees. Artificial Intelligence 170 (January 2006), 19-58.
10. H. HÖPFNER, K. S. Cache-supported processing of queries in mobile dbs. Database Mechanisms for Mobile Applications (2003), 106-121.
11. HAMMOND, L., WILLEY, M., AND OLUKOTUN, K. Data speculation support for a chip multiprocessor. In ASPLOS (1998).
12. KANG, S., LEE, J., JANG, H., LEE, H., LEE, Y., PARK, S., PARK, T., AND SONG, J. SeeMon: scalable and energy-efficient context monitoring framework for sensor-rich mobile environments. In ACM MobiSys (2008).
13. KWAPISZ, J. R., WEISS, G. M., AND MOORE, S. A. Activity recognition using cell phone accelerometers. SIGKDD Explor. Newsl. 12 (March 2011), 74-82.
14. LANE, N. D., MILUZZO, E., LU, H., PEEBLES, D., CHOUDHURY, T., AND CAMPBELL, A. T. A survey of mobile phone sensing. Comm. Mag. 48 (September 2010), 140-150.
15. LIN, K., KANSAL, A., LYMBEROPOULOS, D., AND ZHAO, F. Energy-accuracy trade-off for continuous mobile device location. In ACM MobiSys (2010).
16. LU, H., PAN, W., LANE, N. D., CHOUDHURY, T., AND CAMPBELL, A. T. SoundSense: scalable sound sensing for people-centric applications on mobile phones. In MobiSys (2009).
17. LU, H., YANG, J., LIU, Z., LANE, N. D., CHOUDHURY, T., AND CAMPBELL, A. T. The jigsaw continuous sensing engine for mobile phone applications. In ACM SenSys (2010).
18. MILUZZO, E., LANE, N. D., FODOR, K., PETERSON, R., LU, H., MUSOLESI, M., EISENMAN, S. B., ZHENG, X., AND CAMPBELL, A. T. Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application. In ACM SenSys (2008).
19. MUN, M., REDDY, S., SHILTON, K., YAU, N., BURKE, J., ESTRIN, D., HANSEN, M., HOWARD, E., WEST, R., AND BODA, P. PEIR, the personal environmental impact report, as a platform for participatory sensing systems research. In ACM MobiSys (2009).
20. MUNAGALA, K., BABU, S., MOTWANI, R., AND WIDOM, J. The pipelined set cover problem. In ICDT (2005).
21. NIGHTINGALE, E. B., CHEN, P. M., AND FLINN, J. Speculative execution in a distributed file system. ACM Trans. Comput. Syst. 24 (November 2006), 361-392.
22. QIN, C., BAO, X., CHOUDHURY, R. R., AND NELAKUDITI, S. TagSense: A smartphone based approach to automatic image tagging. In ACM MobiSys (2011).
23. SCHILIT, B., ADAMS, N., AND WANT, R. Context-aware computing applications. In Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications (1994).
24. SCHIRMER, M., AND HÖPFNER, H. SENST*: approaches for reducing the energy consumption of smartphone-based context recognition. In CONTEXT (2011).
25. TARZIA, S. P., DINDA, P. A., DICK, R. P., AND MEMIK, G. Indoor localization without infrastructure using the acoustic background spectrum. In ACM MobiSys (2011).
26. ULLMAN, J. D. A survey of association-rule mining. In Third International Conference on Discovery Science (2000).
27. WIRZ, M., ROGGEN, D., AND TROSTER, G. Decentralized detection of group formations from wearable acceleration sensors. In Intl. Conf. on Computational Science and Engineering - Volume 04 (2009).
28. ZAKI, M. J. Mining non-redundant association rules. Data Mining and Knowledge Discovery 9, 3 (Nov 2004), 223-248.