Dispersion-based prediction framework for estimating missing values in wireless sensor networks

International Journal of Sensor Networks

Volumn 12, Issue 3, 2012, Pages 149-159

  Al Zamil, M ^a   Samarah, S ^a   Saifan, A ^a   Al Smadi, I ^a  

^a YARMOUK UNIVERSITY   (Jordan)

Author keywords

Data mining; Dispersion; Estimation; Wireless data networks

Indexed keywords

DISPERSIONS; WIRELESS SENSOR NETWORKS;

CENTRAL TENDENCIES; INHERENT CHARACTERISTICS; MISSING VALUES; SENSING SCHEMES; STATE OF THE ART; UNRELIABLE SENSING; WIRELESS DATA NETWORKS;

DATA MINING;

EID: 84870261608     PISSN: 17481279     EISSN: 17481287     Source Type: Journal    
DOI: 10.1504/IJSNET.2012.050449     Document Type: Article

References (25)

1. Agrawal, R. and Srikant, R. (1994) 'Fast algorithms for mining association rules', Proceedings of the 20th International Conference on Very Large Data Bases, Santiago de Chile, Chile, pp.487-499.
2. Akkaya, K. and Younis, M. (2005) 'A survey of routing protocols in wireless sensor networks', Elsevier Ad Hoc Network Journal, Vol. 3, No. 3, pp.325-349. (Pubitemid 40266054)
3. Boukerche, A. and Samarah, S. (2008) 'A novel algorithm for mining association rules in wireless ad-hoc sensor networks', IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 7, pp.865-877.
4. Boukerche, A., Pazzi, R.W. and Araujo, R.B. (2004) 'A fast and reliable protocol for wireless sensor networks in critical conditions monitoring applications', Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Venice, Italy, pp.157-164. (Pubitemid 41563744)
5. Chu, D., Deshpande, A., Hellerstein, J.M. and Hong, W. (2006) 'Approximate data collection in sensor networks using probabilistic models', Proceedings of the 22nd International Conference on Data Engineering (ICDE'06), Atlanta, Georgia, USA, pp.48-50.
6. Deshpande, A., Guestrin, C., Madden, S., Hellerstein, J.M. and Hong, W. (2004) 'Model-driven data acquisition in sensor networks', Proceedings of the 30th VLDB Conference, Toronto, Canada.
7. Duarte, M.F. and Hu, Y.H. (2004) 'Vehicle classification in distributed sensor networks', Journal of Parallel and Distributed Computing, Vol. 64, No. 7, pp.826-838. (Pubitemid 40000773)
8. Gruenwald, L., Chok, H. and Aboukhamis, M. (2007) 'Using data mining to estimate missing sensor data', ICDMW, 7th IEEE International Conference on Data Mining Workshops, pp.207-212.
9. Halatchev, M. and Gruenwald, L. (2005) 'Estimating missing values in related sensor data streams', Proceedings of the 11th International Conference on Management of Data, India, pp.83-94.
10. Halatchev, M. and Gruenwald, L. (2007) 'Estimating missing values in related data streams', Advances in Databases: Concepts, Systems and Applications, Vol. 4443, pp.981-987.
11. Han, J. and Kamber, M. (2006) Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann Publisher, Burlington, MA.
12. Intel Berkeley Research Lab (2011) Intel Lab Data. Available online: http://db.csail.mit.edu/labdata/labdata.html
13. Jain, A., Chang, E.Y. and Wang, Y. (2004) 'Adaptive stream resource management using Kalman filters', Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Paris, France, pp.11-22.
14. McConnell, S. and Skillicorn, D. (2005) 'A distributed approach for prediction in sensor networks', Proceedings of 1st International Workshop on Data Mining in Sensor Networks as part of the SIAM International Conference on Data Mining, pp.28-37.
15. Murthy, C.S.R. and Manoj, B.S. (2004) Ad Hoc Wireless Networks Architecture and Protocols, Prentice Hall PTR, New Jersey.
16. NASA/JPL Sensor Webs Project (2011) Huntington Botanical Gardens Temporal View. Available online at: http://caupanga.huntington.org/swim/
17. Olston, C., Jiang, J. and Widom, J. (2003) 'Adaptive filters for continuous queries over distributed data streams', Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, pp.563-574.
18. Pan, L. and Li, J. (2010) 'K-nearest neighbor based missing data estimation algorithm in wireless sensor networks', Wireless Sensor Network, Vol. 2, pp.115-122.
19. Papadimitriou, S., Sun, J. and Faloutsos, C. (2005) 'Pattern discovery in multiple time-series', VLDB'05 Proceedings of the 31st International Conference on Very Large Data Bases, pp.697-708.
20. Römer, K., Mattern, F. and Zurich, E. (2004) 'The design space of wireless sensor networks', IEEE Wireless Communications, Vol. 11, No. 6, pp.54-61. (Pubitemid 40021190)
21. Roos, T., Myllymaki, P., Tirri, H., Misikangas, P. and Sievanen, J. (2002) 'A probabilistic approach to WLAN user location estimation', International Journal of Wireless Information Networks, Vol. 9, No. 3, pp.155-164.
22. Tulone, D. and Madden, S. (2006) 'PAQ: time series forecasting for approximate query answering in sensor networks', The 3rd European Workshop on Wireless Sensor Networks (EWSN'06), Zurich, Switzerland.
23. Wang, Y. (2009) 'Intrusion detection in Gaussian distributed heterogeneous wireless sensor networks', Proceedings of the 28th IEEE conference on Global Telecommunications, Hawaii, USA, pp.1-6.
24. Yann-Ael, L.B. and Gainluca, B. (2005) 'Round robin cycle for predictions in wireless sensor networks', The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP'05), Melbourne, Australia.
25. Zhao, F. and Guibas, L.J. (2002) Wireless Sensor Networks: An Information Processing Approach, Morgan Kaufmann Publisher, Burlington, MA.