Modeling spatially correlated data in sensor networks

ACM Transactions on Sensor Networks

Volumn 2, Issue 4, 2006, Pages 466-499

  Jindal, Apoorva ^a,b   Psounis, Konstantinos ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b University of Southern California ^*  (United States)

Author keywords

Generating synthetic data; Modeling of physical environment; Spatial correlation; Wireless sensor networks

Indexed keywords

PHYSICAL ENVIRONMENT MODELING; SPATIAL CORRELATION; SYNTHETIC DATA; WIRELESS SENSOR NETWORKS;

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; NETWORK PROTOCOLS; SENSORS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 33847142360     PISSN: 15504859     EISSN: 15504867     Source Type: Journal    
DOI: 10.1145/1218556.1218558     Document Type: Article

References (35)

1. CHOU, J., PETROVIC, D., AND RAMCHANDRAN, K. 2002. Tracking and exploiting correlations in dense sensor networks. In Conference Record of the 36th Asilomar Conference on Signals, Systems and Computers.
2. COVER, T. M. AND THOMAS, J. A. 1991. Elements of Information Theory. John Wiley.
3. CRESSIE, N. 1993. Statistics for Spatial Data. John Wiley.
4. CRISTESCU, R., BEFERULL-LOZANO, B., AND VETTERLI, M. 2004. On network correlated data gathering. In Proceedings of the IEEE Infocom'04.
5. CRISTESCU, R. AND VETTERLI, M. 2005. On the optimal density for real-time data gathering of spatio-temporal processes in sensor networks. In Proceedings of IPSN'05.
6. DOHERTY, L. AND PISTER, K. 2004. Scattered data selection for dense sensor networks. In Proceedings of IPSN'04.
7. DESHPANDE, A., GUESTRIN, C., MADDEN, S., HELLERSTEIN, J., AND HONG, W. 2004. Model driven data acquisition in sensor networks. In 30th International Conference on Very Large Data Bases (VLDB 2004).
8. FARUQUE, J. AND HELMY, A. 2004. Rugged: Routing on fingerprint gradients in sensor networks. In IEEE International Conference on Pervasive Services (ICPS'04).
9. GANESAN, D., ESTRIN, D., AND HEIDEMANN, J. 2002. Dimensions: Why do we need a new data handling architecture for sensor networks? 1st Workshop on Hot Topics in Networks (Hotnets-I).
10. GANESAN, D., GREENSTEIN, B., PERELYUBSKIY, D., ESTRIN, D., AND HEIDEMANN, J. 2003. An evaluation of multiresolution storage for sensor networks. In SenSys'03.
11. GOEL, A. AND ESTRIN, D. 2003. Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk. In SODA. 499-505.
12. GOOVAERTS, P. 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press.
13. INT. 2004. Intel lab data, http://berkeley.intel-research.net/labdata.
14. INTANAGONWIWAT, C., ESTRIN, D., GOVINDAN, R., AND HEIDEMANN, J. 2002. Impact of network density on data aggregation in wireless sensor networks. In ICDCS.
15. JINDAL, A. AND PSOUNIS, K. 2004. Modeling spatially-correlated sensor network data. In Proceedings of the IEEE International Conference on Sensor and Ad hoc Communications and Networks.
16. KANWAL, R. P. 1997. Linear Integral Equations: Theory and Technique. Birkhauser Boston Academic Press.
17. KARGUPTA, H., JOSHI, A., SIVAKUMAR, K., AND YESHA, Y. 2003. Data Mining: Next Generation Challenges and Future Directions. AAAI/MIT Press.
18. KRISHNAMACHARI, B., ESTRIN, D., AND WICKER, S. B. 2002. The impact of data aggregation in wireless sensor networks. In ICDCS Workshop on Distributed Event-based Systems (DEBS).
19. KYTHE, P. K. AND PURI, P. 2002. Computation Methods for Linear Integral Equations. Birkhauser Boston Academic Press.
20. LEE, L. 1999. Measures of distributional similarity. In Proceedings of the 37th ACL.
21. LI, S. Z. 2001. Markov Random Field Modeling in Image Analysis. Springer.
22. LIU, F., SHEN, S., ANH, V., AND TURNER, I. 2004. Analysis of a discrete non-markovian random walk approximation for the time fractional diffusion equation. In Proceedings of the 12th Biennial Computational Techniques and Applications Conference (CTAC'04).
23. MARCO, D., DUARTE-MELO, E., LIU, M., AND NEUHOFF, D. 2003. On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data. In Proceedings of IPSN'03.
24. OLEA, R. A. 1999. Geostatistics for Engineers and Earth Scientists. Kluwer Academic Publishers.
25. PAEK, J., CHINTALAPUDI, K., CAFFREY, J., GOVINDAN, R., AND MASRI, S. 2005. A wireless sensor network for structural health monitoring: performance and experience. 2nd IEEE Workshop on Embedded Networked Sensors.
26. PATTEM, S., KRISHNMACHARI, B., AND GOVINDAN, R. 2004. The impact of spatial correlation on routing with compression in wireless sensor networks. In Symposium on Information Processing in Sensor Networks (IPSN).
27. PORTER, D. AND STIRLING, D. S. 1990. Integral Equations: A Practical Treatment from Spectral Theory to Applications. Cambridge University Press.
28. PSOUNIS, K., ZHU, A., PRABHAKAR, B., AND MOTWANI, R. 2004. Modeling correlations in web-traces and implications for designing replacement policies. Comput. Netw. J. Elsevier. 45, 4, 379-398.
29. RAHIMI, M., PON, R., KAISER, W. J., SUKHATME, G. S., ESTRIN, D., AND SRIVASTAVA, M. 2004. Adaptive sampling for environmental robotics. In IEEE International Conference on Robotics and Automation.
30. VENABLES, W. AND RIPLEY, B. 2002. Modern Applied Statistics with S, 4th ed. Springer.
31. VURAN, M. C. AND AKYILDIZ, I. F. 2006. Spatial correlation-based collaborative medium access control in wireless sensor networks. In IEEE / ACM Trans. Netw., to appear.
32. WHITEHOUSE, K. AND CULLER, D. 2002. Calibration as parameter estimation in sensor networks. In Proceedings of WSNA'02.
33. WIDMANN, M. AND BRETHERTON, C. http://tao.atmos.washington.edu/data-sets/widmann. 50 km resolution daily precipitation for the pacific northwest, 1949-1994.
34. YU, Y., ESTRIN, D., GOVINDAN, R., AND RAHIMI, M. 2004. Using more realistic data models to evaluate sensor network data processing algorithms. 1st IEEE Workshop on Embedded Networked Sensors.
35. YU, Y., GANESAN, D., GIROD, L., ESTRIN, D., AND GOVINDAN, R. 2003. Synthetic data generation to support irregular sampling in sensor networks. In Geo Sensor Networks 2003.