Context-aware resource management in multi-inhabitant smart homes: A nash H-learning based approach

Proceedings - Fourth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2006

Volumn 2006, Issue , 2006, Pages 148-158

  Roy, Nirmalya ^a   Roy, Abhishek ^a   Das, Sajal K ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY TRACKING; CONTEXT AWARENESS; INTELLIGENCE AUTOMATION; SMART HOME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; LEARNING SYSTEMS; PROBLEM SOLVING; RESOURCE ALLOCATION;

INFORMATION MANAGEMENT;

EID: 33750350791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PERCOM.2006.18     Document Type: Conference Paper

References (19)

1. A. Bhattacharya and S. K. Das, "LeZi-update: An Information- theoretic Approach for Personal Mobility Tracking in PCS Networks," ACM/Kluwer Wireless Networks, vol. 8, no. 2, pp.121-137, Mar-May 2002.
2. (Also Proc. ACM Mobicom, 1999.)
3. D. J. Cook and S. K. Das, "Smart Environments: Technology, Protocols and Applications," John Wiley, Nov 2004.
4. T. M. Cover and J. A. Thomas, Elements of Information Theory, John Wiley, 1991.
5. S. K. Das, D. J. Cook, A. Bhattacharya, E. Hierman, T. Y. Lin, "The Role of Prediction Algorithms in the MAVHome Smart Home Architecture", IEEE Wireless Communications, Special Issue Smart Homes, Vol. 9, No. 6, pp. 77-84, Dec. 2002.
6. M. R. Garey and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman Publishers, 1979.
7. G. R. Grimmet and D. R. Stirzaker, "Probability and Random Processes, 2nd ed..", Oxford University Press, 1992.
8. X10 web resources available at http://www.x10.com.
9. "House_n Living Laboratory Introduction", http://architecture. mit.edu/house_n/web/publications.
10. J. Hu and M. P. Wellman, "Nash Q-Learning for General-Sum Stochastic Games", Journal of Machine Learning, vol. 4, pp. 1039-1069, 2003.
11. E. Koutsoupias and C. Papadimitriou, "Worst-case Equilibria", 16th Annual Symposium on Theoretical Aspects of Computer Science, pp. 404-413, 1999.
12. Lesser, et al., "The Intelligent Home Testbed", Proc. of Autonomy Control Software Workshop, Jan. 1999.
13. M. C. Mozer, "The Neural Network House: An Environment that Adapts to its Inhavitants", Proc. of the American Association for Artificial Intelligence Spring Symposium on Intelligent Environments, pp. 110-114, 1998.
14. R. J. Orr and G. D. Abowd, "The Smart Floor: A Mechanism for Natural User Identification and Tracking," Proceedings of 2000 Conference on Human Factors in Computing Systems (CHI 2000), ACM Press, NY, 2000.
15. G. Owen,"Game Theory", Second Edition,Academic Press,1982
16. A. Roy, S. K. Das Bhaumik, A. Bhattacharya, K. Basu, D. J. Cook and S. K. Das, "Location Aware Resource Management in Smart Homes", Proc. of International IEEE Conference on Pervasive Computing and Communications (PerCom), pp. 481-488, Mar 2003.
17. N. Roy, A. Roy, K. Basu and S. K. Das "A Cooperative Learning Framework for Mobility-Aware Resource Management in Multi-Inhabitant Smart Homes", Proc. of IEEE International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous), pp. 393-403, July 2005.
18. M. Youngblood, D. J. Cook, and L. B. Holder, "Managing Adaptive Versatile Environments." Proc. of IEEE International Conference on Pervasive Computing and Communications, pp. 351-360, Mar 2005.
19. M. Youngblood, "MavPad Inhabitant 2 Trial 2 Data Set." The MavHome Project, Computer Science and Engineering Department, The University of Texas at Arlington, 2005. http://mavhome.uta.edu