In-network iterative distributed estimation for power-constrained wireless sensor networks

Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012

Volumn , Issue , 2012, Pages 239-246

  Shah, Santosh ^a   Beferull Lozano, Baltasar ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

distributed estimation; iterative greedy; joint sensor selection and routing; parameter estimation

Indexed keywords

ACTIVE SENSOR; COMMUNICATION COST; CONVENTIONAL SENSORS; DISTRIBUTED ESTIMATION; ITERATIVE GREEDY; JOINT OPTIMIZATION; JOINT SENSORS; LARGE-SCALE WIRELESS SENSOR NETWORKS; LOCALIZED EVENTS; LOWER BOUNDS; NP-HARD; NUMERICAL EXPERIMENTS; OPTIMAL SOLUTIONS; OPTIMIZATION PROBLEMS; POWER EFFICIENCY; POWER EFFICIENT; QUERYING NODES; ROUTING STRUCTURES; SENSOR SELECTION; SHORTEST PATH TREE;

ALGORITHMS; COMMUNICATION; ESTIMATION; FORESTRY; OPTIMIZATION; PARAMETER ESTIMATION; ROUTING ALGORITHMS; SENSORS; WIRELESS SENSOR NETWORKS;

COST ESTIMATING;

ALGORITHMS; COMMUNICATION; ESTIMATION; ITERATIVE METHODS; NETWORKS; OPTIMIZATION; PARAMETERS; PERFORMANCE; SENSORS;

EID: 84864258972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCOSS.2012.18     Document Type: Conference Paper

References (19)

1. G. J. Pottie and W. J. Kaiser, "Wireless integrated network sensors". Commun. ACM, vol. 43, no. 5, pages 51-58, 2000.
2. Zhi Quan, Kaiser, W. J., and Sayed, A. H., "Innovations diffusion: a spatial sampling scheme for distributed estimation and detection", IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 738-751, Feb. 2009.
3. E. Portu-Repollés and B. Beferull-Lozano, "Joint sensor selection and routing for distributed estimation in wireless sensor networks", EUSIPCO, Glasgow, Scotland, August 2009.
4. S. Joshi and Stephen Boyd, "Sensor selection via convex optimization", IEEE Transactions on Signal Processing, vol. 57, no. 2, February 2009.
5. Danny Bickson, Danny Dolev, "Distributed Sensor Selection via Gaussian Belief Propagation", CoRR abs/0907.0931: (2009).
6. Z. Quan and A. Sayed, "Innovations-based sampling over spatially-correlated sensors", IEEE Inter. Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, vol. 3, pp. III-509-III-512, April 2007.
7. Junlin Li, AlRegib, G., "Distributed estimation in energy-constrained wireless sensor networks," IEEE Transactions on Signal Processing, vol. 57, no. 10, pp. 3746-3758, Oct. 2009.
8. J. Li and G. AlRegib, "Rate-constrained distributed estimation in wireless sensor networks", IEEE Transactions on Signal Processing, vol. 5, pp. 1634-1643. May 2007.
9. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, volume I, Pentice-Hall, Inc, 2007.
10. A. Ribeiro and G. Giannakis, "Bandwidth-constrained distributed estimation for wireless sensor networks - part I Gaussian case",IEEE Tran. on Signal Processing, vol. 54, no. 3, pp. 1131-1143, March 2006.
11. A. Ribeiro and G. B. Giannakis, "Bandwidth-constrained distributed estimation for wireless sensor networks - part II, IEEE Transactions on Signal Processing, vol. 54, no. 7, pp. 2784-2796, July 2006.
12. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, March 2004.
13. Y. Huang, Y. Hua, "Multi-hop progressive decentralized estimation in wireless sensor networks", IEEE Signal Process. Lett., vol. 14, p. 1004-07 , 2007.
14. Dan Li, Wong K.D., Yu Hen Hu, and Sayeed, A.M., "Detection, classification, and tracking of targets", IEEE Signal Processing Magazine, vol. 19, no. 2, pp. 17-29, Mar 2002.
15. Guoqiang Mao, Brian D. O. Anderson, and B. Fidan, "Path loss exponent estimation for wireless sensor network localization", The International Journal of Computer and Telecommunications Networking, vol. 51, no. 10, pp. 2467-2483, July 2007.
16. M. R. Garey and D. S. Johnson, Computers and Intractability: a Guide to the Theory of NP-Completeness (Series of Books in the Mathematical Sciences), W. H. Freeman, January 1979.
17. C. H. Papadimitriou and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity. Englewood Cliffs, NJ: Prentice-Hall,1982.
18. R. M. Karp, 'Reducibility among combinatorial problems," in R. E. Miller and J. W. Thatcher, Editors. Proc. of a Symp. on the Complexity of Computer Computations, New York, NY: Plenum Press, pp. 85-103, 1972.
19. Robert Sedgewick, Algorithms in Java , Part 5: Graph Algorithms, 3rd Edition, Addison-Wesley Professional, 2003.