Energy-balanced sensor selection for social context detection

2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012

Volumn , Issue , 2012, Pages 32-37

  Viet, Nguyen Hoang ^a   Munthe Kaas, Ellen ^a   Plagemann, Thomas ^a  

^a UNIVERSITY OF OSLO   (Norway)

Author keywords

context detection; quality of information; sensor selection

Indexed keywords

BRUTE FORCE; BUDGET CONSTRAINT; CONTEXT DETECTION; ENERGY-BALANCED; LIFE-TIMES; LOW LEVEL; NP COMPLETE; ORDERS OF MAGNITUDE; QUALITY OF INFORMATION; REAL-TIME APPLICATION; SENSOR SELECTION; SENSOR SELECTION PROBLEM; SHOW THROUGH; SOCIAL CONTEXT; SOCIAL RELATIONSHIPS;

BEHAVIORAL RESEARCH; HEURISTIC METHODS; UBIQUITOUS COMPUTING;

SENSORS;

EID: 84861563552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerComW.2012.6197505     Document Type: Conference Paper

References (12)

1. A. Krause, A. Smailagic, and D. Siewiorek, "Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array," Mobile Computing, IEEE Transactions on, vol. 5, no. 2, pp. 113 - 127, feb. 2006.
2. N. Roy, A. Misra, C. Julien, S. Das, and J. Biswas, "An energy-efficient quality adaptive framework for multi-modal sensor context recognition," in Pervasive Computing and Communications (PerCom), 2011 IEEE International Conf. on, march 2011, pp. 63 -73.
3. R. Debouk, S. Lafortune, and D. Teneketzis, "On an optimization problem in sensor selection*," Discrete Event Dynamic Systems, vol. 12, no. 4, pp. 417-445, 1999.
4. A. Krause and C. Guestrin, "Near-optimal nonmyopic value of information in graphical models," in In Annual Conf. on Uncertainty in Artificial Intelligence. John, 2005.
5. E. Ertin, J. W. Fisher, and L. C. Potter, "Maximum mutual information principle for dynamic sensor query problems," in in 2nd Int. Workshop on Information Proc. in Sensor Networks. Springer-Verlag, 2003, pp. 405-416.
6. P. K. Atrey, M. S. Kankanhalli, and R. Jain, "Information assimilation framework for event detection in multimedia surveillance systems," Multimedia Systems, vol. 12, no. 3, pp. 239-253, 2006.
7. C. Bisdikian, "On sensor sampling and quality of information: A starting point," in Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE Int. Conf. on, 2007, pp. 279-284.
8. M. A. Hossain, P. K. Atrey, and A. E. Saddik, "Modeling quality of information in multi-sensor surveillance systems," in Proc. of the 2007 IEEE 23rd Int. Conf. on Data Engineering Workshop. Washington, DC, USA: IEEE Computer Society, 2007, pp. 11-18, ACM ID: 1547707.
9. E. Y.-H. Lin, "Multiple choice knapsack problems and its extensions on capital investment," Operations Research and Its Applications, World Publishing Corporation, Beijing, China, vol. (ISBN 7-5062-3874-8), pp. pp. 406-417, 1998.
10. H. Kellerer, U. Pferschy, and D. Pisinger, Knapsack Problems, 1st ed. Springer, 2004.
11. H. Kang, H. Kang, and X. Li, "Power-aware sensor selection in wireless sensor networks," In The 5th International Conference on Information Processing in Sensor Networks, Work in Progress, 2006.
12. M. Saini and M. Kankanhalli, "Context-based multimedia sensor selection method," in Proc. of the 2009 Sixth IEEE International Conf. on Advanced Video and Signal Based Surveillance, ser. AVSS '09. Washington, DC, USA: IEEE Computer Society, 2009, pp. 262-267.