Comparison of accuracy estimation approaches for sensor networks

Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013

Volumn , Issue , 2013, Pages 28-35

  Wen, Hongkai ^a   Xiao, Zhuoling ^a   Symington, Andrew C ^a   Markham, Andrew ^a   Trigoni, Niki ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ESTIMATION; APPLICATION SCENARIO; CONFIDENCE INTERVAL; LEARNING TECHNIQUES; MEASURE OF UNCERTAINTY; SENSING APPLICATIONS; SENSOR MEASUREMENTS; SENSOR TECHNOLOGIES;

ESTIMATION; PROBABILITY DISTRIBUTIONS; SENSOR NETWORKS; STATE ESTIMATION; TAXONOMIES;

UNCERTAINTY ANALYSIS;

EID: 84883433522     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCOSS.2013.56     Document Type: Conference Paper

References (22)

1. J. Biagioni, T. Gerlich, T. Merrifield, and J. Eriksson. Easytracker: automatic transit tracking, mapping, and arrival time prediction using smartphones. In Proc . SenSys, 2011.
2. N. Cressie. The origins of kriging. Mathematical Geology, 22:239-252, 1990.
3. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39(1), 1977.
4. D. Fox, J. Hightower, L. Liao, D. Schulz, and G. Borriello. Bayesian filtering for location estimation. In IEEE Pervasive Computing, 2003.
5. B. Hummel. Map matching for vehicle guidance. In Dynamic and Mobile GIS: Investigating Space and Time. CRC Press, 2006.
6. J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5), 1999.
7. J. Krumm, J. Letchner, and E. Horvitz. Map matching with travel time constraints. In SAE World Congress, 2007.
8. S. Madden. Intel lab data, 2004.
9. P. Newson and J. Krumm. Hidden markov map matching through noise and sparseness. In Proc. GIS, 2009.
10. M. A. Osborne, S. J. Roberts, A. Rogers, and N. R. Jennings. Realtime information processing of environmental sensor network data using bayesian gaussian processes. ACM Trans. Sen. Netw., 9(1), 2012.
11. E. Pacuit. Voting methods. In The Stanford Encyclopedia of Philosophy. Winter 2012 edition, 2012.
12. J. Pasternack and D. Roth. Knowing what to believe (when you already know something). In Proc . COLING, 2010.
13. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), 1989.
14. C. Rasmussen and C. Williams. Gaussian processes for machine learning, volume 1. MIT press Cambridge, MA, 2006.
15. J. Schmid, F. Beutler, B. Noack, U. Hanebeck, and K. D. M̈uller-Glaser. An experimental evaluation of position estimation methods for person localization in wireless sensor networks. In Proc . EWSN, 2011.
16. A. Thiagarajan, L. Ravindranath, H.Balakrishnan, S. Madden, and L. Girod. Accurate, Low-Energy Trajectory Mapping for Mobile Devices. In Proc . NSDI, 2011.
17. A. Thiagarajan, L. Ravindranath, K. LaCurts, S. Madden, H. Balakrishnan, S. Toledo, and J. Eriksson. Vtrack: accurate, energy-aware road traffic delay estimation using mobile phones. In Proc . SenSys, 2009.
18. D. Wang, T. Abdelzaher, H. Ahmadi, J. Pasternack, D. Roth, M. Gupta, J. Han, O. Fatemieh, H. Le, and C. Aggarwal. On bayesian interpretation of fact-finding in information networks. In Proc . FUSION, 2011.
19. D. Wang, H. Ahmadi, T. Abdelzaher, H. Chenji, R. Stoleru, and C. Aggarwal. Optimizing quality-of-information in cost-sensitive sensor data fusion. In Proc . DCOSS, 2011.
20. D. Wang, L. Kaplan, H. Le, and T. Abdelzaher. On truth discovery in social sensing: a maximum likelihood estimation approach. In Proc . IPSN, 2012.
21. H. Wen, Z. Xiao, N. Trigoni, and P. Blunsom. On assessing the accuracy of positioning systems in indoor environments. In Proc. EWSN, 2013.
22. X. Yin, J. Han, and P. Yu. Truth discovery with multiple conflicting information providers on the web. In Proc . KDD, 2007.