Fusion in the context of information theory

Distributed Sensor Networks

Volumn , Issue , 2004, Pages 419-435

  Ahmed, Mohiuddin ^a   Pottie, Gregory ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84929792507     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (47)

1. Pottie, G. et al., Wireless sensor networks, in Information Theory Workshop Proceedings, Killamey, Ireland, June 22–26, 1998.
2. Manyika, J. and Durrant-Whyte, H., Data Fusion and Sensor Management, Ellis Horwood Series in Electrical and Electronic Engineering, Ellis Horwood, West Sussex, UK, 1994.
3. Varshney, P.K., Distributed Detection and Data Fusion, Springer-Verlag, New York, NY, 1997.
4. Popoli, R., The sensor management imperative, in Multi-Target Multi-Sensor Tracking, Bar-Shalom, Y. (ed.), Artech House, 325, 1992.
5. Kuc, R. and Siegel, M.W. Physically based simulation model for acoustic sensor robot navigation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(6), 766, 1987.
6. Luo, R. and Kay, M., Multi-sensor integration and fusion in intelligent systems, IEEE Transactions on Systems Man and Cybernetics, 19(5), 901, 1989.
7. Mitchie, A. and Aggarwal, J.K., Multiple sensor integration through image processing: a review, Optical Engineering, 23(2), 380, 1986.
8. Leonard, J.J., Directed sonar sensing for mobile robot navigation, Ph.D. dissertation, University of Oxford, 1991.
9. Waltz, E. and Llinas, J., Multi-Sensor Data Fusion, Artech House, 1991.
10. Berger, T. et al., Model distribution in decentralized multi-sensor fusion, in Proceedings of the American Control Conference (ACC), 2291, 1991.
11. Tsitsiklis, J.N., On the complexity of decentralized decision-making and detection problems, IEEE Transactions on Automatic Control, 30(5), 440, 1985.
12. Gamal, E. and Cover, T.M., Multiple user information theory, Proceedings of the IEEE, 68, 1466, 1980.
13. Csiszar, I. and Korner, J., Towards a general theory of source networks, IEEE Transactions on Information Theory, IT-26, 155, 1980.
14. Frank, R., Understanding Smart Sensors, Artech House, Norwood, MA, 2000.
15. Rai-Choudhury, P. (ed.), MEMS and MOEMS Technology and Applications, Society of Photo- Optical Instrumentation Engineers, 2000.
16. Kucar, A.D., Moblie radio — an overview, IEEE Personal Communications Magazine, 72, November, 1991.
17. Royer, E. and Toh, C.-K., A review of current routing protocols for ad hoc wireless networks, IEEE Personal Communications Magazine, 6(2), 46, 1999.
18. Sohrabi, K. and Pottie, G., Performance of a self-organizing algorithm for wireless ad hoc sensor networks, in IEEE Vehicular Technology Conference, Fall, 1999.
19. Pottie, G., Hierarchical information processing in distributed sensor networks, in IEEE International Symposium on Information Theory, Cambridge, MA, August 16–21, 1998.
20. Durrant-Whyte, H., Sensor models and multi-sensor integration, International Journal of Robotics, 7(6), 97, 1988.
21. Flynn, A.M., Combining ultra-sonic and infra-red sensors for mobile robot navigation, International Journal of Robotics Research, 7(5), 5, 1988.
22. Garvey, T. et al., Model distribution in decentralized multi-sensor fusion, in Proceedings of the American Control Conference, 2291, 1991.
23. Verdu, S., Multiuser Detection, Cambridge University Press, 1998.
24. Balchen J. et al., Structural solution of highly redundant sensing in robotic systems, in Highly Redundant Sensing in Robotic Systems, NATO Advanced Science Institutes Series, vol. 58, Springer- Verlag, 1991.
25. Sohrabi, K. et al., Protocols for self-organization for a wireless sensor network, IEEE Personal Communication Magazine, 6, October, 2000.
26. Singh, S. et al., Power-aware routing in mobile ad hoc networks, in Proceedings of the 4th Annual IEEE/ACM International Conference on Mobile Computing and Networking (MOBICOM), Dallas, TX, 181, 1998.
27. Yao, K. et al., Blind beamforming on a randomly distributed sensor array, IEEE Journal on Selected Areas in Communication, 16(8), 1555, 1998.
28. Cover, T.M. and Thomas, J.A., Elements of Information Theory, Wiley-Interscience, Hoboken, NJ, 1991.
29. Gallager, R.G., Information Theory and Reliable Communications, John Wiley & Sons, New York, NY, 1968.
30. Poor, H.V., An Introduction to Signal Detection and Estimation, Springer-Verlag, New York, NY, 1988.
31. Roussas, G.G., A Course in Mathematical Statistics, 2nd ed., Harcourt/Academic Press, Burlington, MA, 1997.
32. Scheick, J.T., Linear Algebra with Applications, McGraw-Hill, New York, NY, 1996.
33. Nakamura, Y., Geometric fusion: minimizing uncertainty ellipsoid volumes, Data Fusion, Robotics and Machine Intelligence, Academic Press, 1992.
34. Fristedt, B. and Gray, L., A Modern Approach to Probability Theory. Probability and its Applications, Boston, MA, Birkhauser, 1997.
35. Proakis, J.G., Digital Communications, McGraw-Hill, New York, NY, 2000.
36. Kalman, R.E., A new approach to linear filtering and prediction problems, Transactions of the ASME Journal of Basic Engineering, 82, 34, 1969.
37. Shannon, C.E., A mathematical theory of communication, Bell Systems Technical Journal, 27, 279, 1948.
38. Middleton, D., Statistical Communication Theory, McGraw-Hill, 1960.
39. Kullback, S., Information Theory and Statistics, John Wiley & Sons, New York, NY, 1959.
40. Csiszar, I. and Longo, G., On the error exponent for source coding and for testing simple statistical hypotheses, Studia Scientiarum Mathematicarum Hungarica., 6, 181, 1971.
41. Blahut, R.E., Hypothesis testing and information theory, IEEE Transactions on Information Theory, 20(4), 405, 1974.
42. Blum, R.S. and Kassam, S.A., On the asymptotic relative efficiency of distributed detection schemes, IEEE Transactions on Information Theory, 41(2), 523, 1995.
43. Stone, M., The opinion pool, The Annals of Statistics, 32, 1339, 1961.
44. Pearl, J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, 1997.
45. Catlin, D., Estimation, Control and the Discrete Kalman Filter, Springer-Verlag, 1989.
46. Fisher, R.A., On the mathematical foundations of theoretical statistics, Philosophical Transactions of the Royal Society of London, series A, 222, 309, 1922.
47. John, W.F. III. et al., Statistical and information-theoretic methods for self-organization and fusion of multimodal, networked sensors, International Journal of High Performance Computing Applications, 2001.