A distributed algorithm for managing multi-target identities in wireless ad-hoc sensor networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2634, Issue , 2003, Pages 223-238

  Shin, Jaewon ^a   Guibas, Leonidas J ^a   Zhao, Feng ^b  

^a Stanford University   (United States)

^b PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; MASS TRANSFER; SENSOR NETWORKS; SENSOR NODES; STOCHASTIC SYSTEMS; WIRELESS AD HOC NETWORKS; WIRELESS SENSOR NETWORKS;

DISTRIBUTED IMPLEMENTATION; DOUBLY STOCHASTIC MATRIX; IDENTITY INFORMATION; LOCAL INFORMATION; MASS FLOW; MULTI-TARGETS; WIRELESS AD HOC SENSOR NETWORKS;

ALGORITHMS;

EID: 33244491083     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36978-3_15     Document Type: Article

References (18)

1. I. Csiszar, "A geometric interpretation of Darroch and Ratcliff's generalized iterative scaling", Annals of Probability, 3, 146-158, 1975.
2. Reid, D.E., "An Algorithm for Tracking Multiple Targets", IEEE Trans. on Automatic Control, No. 6, December 1979, pp. 843-854
3. R.R. Tenny and N. R. Sandell Jr., "Detection with Distributed Sensors", IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-17, No. 4, July 1981
4. Y. Bar-Shalom and T. E. Fortmann, Tracking and Data Association, Academic Press, New York, 1988
5. H. R. Hashemi and I. B. Rhodes, "Decentralized Sequential Detection", IEEE Transactions on Information Theory, Vol. 35, No. 3, May 1989
6. T. M. Cover and J. A. Thomas, "Elements of Information Theory", Wiley, 1991
7. I. J. Cox and S. L. Hingorani, "An Efficient Implementation of Reid's Multiple Hypohtesis Tracking Algorithm and its Evaluation for the Purpose of Visual Tracking," IEEE Trans. on PAMI, Vol 18., No. 2, pp. 138-150, Feb. 1996
8. P. L. Combettes, "Hilbertian Convex Feasibility Problem: Convergence of Projection Methods" Appl. Math. Optim. 35:311-330, 1997
9. M. Isard and A. Blake, "CONDENSATION - Conditional Density Propagation for Visual Tracking", Int. J. Computer Vision, 1998
10. L. J. Guibas, "Kinetic data structures - a state of the art report," Proc. Workshop Algorithmic Found. Robot., pages 191-209, A. K. Peters, Wellesley, MA, 1998
11. H. Tao, H.S. Sawhney and R. Kumar, "A Sampling Algorithm for Tracking Multiple Objects," Proc. of the IEEE Wkshp. on Vision Algorithms, Corfu, Greece, Sep. 1999
12. H. Pasula, S. Russel, M. Ostland and Y. Ritov, "Tracking Many Objects with many sensors," Int. Joint Conf. on Artificial Intelligence (IJCAI), Stockholm, pages 1160-1171, 1999.
13. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, "Next century challenges: Scalable coordination in sensor networks", Proceedings of the Fifth Annual International Conference on Mobile Computing and Networks, Seattle, Washington, August 1999
14. P. Gupta and P.R. Kumar, "The Capacity of Wireless Networks", IEEE Trans. Inform. Theory, 46(2):388-404, 2000.
15. J. MacCormick and A. Blake, "Probabilistic exclusion and partitioned sampling for multiple object tracking.", Intl J. Computer Vision, 39(1):57-71, 2000.
16. M. Chu, H. Haussecker, and F. Zhao, "Scalable Information-Driven Sensor Query and Routing for ad hoc Heterogeneous Sensor Network", International Journal of High Performance Computing Applications, 2002
17. F. Zhao, J. Shin, and J. Reich, "Information Driven Dynamic Sensor Collaboration for Tracking Application", IEEE Signal Processing Magazine 2002 March
18. Wei Ye, John Heidemann and Deborah Estrin, "An Energy-Efficient MAC Protocol for Wireless Sensor Networks", IEEE INFOCOM 2002, June, 2002.