Power-aware joint sensor selection and routing for distributed estimation: A convex optimization approach

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

Volumn , Issue , 2012, Pages 230-238

  Shah, Santosh ^a   Beferull Lozano, Baltasar ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

distributed estimation; joint sensor selection and routing; local distributed optimization; parameter estimation

Indexed keywords

COMMUNICATION COST; CONVENTIONAL SENSORS; DISTRIBUTED ESTIMATION; DISTRIBUTED OPTIMIZATION; ESTIMATION PERFORMANCE; JOINT SENSORS; LOWER BOUNDS; NP-HARD; NUMERICAL EXPERIMENTS; OPTIMAL SOLUTIONS; OPTIMIZATION APPROACH; OPTIMIZATION PROBLEMS; POWER EFFICIENCY; POWER EFFICIENT; POWER-AWARE; QUERYING NODES; ROUTING STRUCTURES; SENSOR SELECTION; SHORTEST PATH TREE; TOTAL POWER; VECTOR PARAMETER;

ALGORITHMS; CONVEX OPTIMIZATION; ESTIMATION; FORESTRY; OPTIMIZATION; PARAMETER ESTIMATION; ROUTING ALGORITHMS; SENSOR NODES;

SENSORS;

ALGORITHMS; ESTIMATION; OPTIMIZATION; PARAMETERS; SENSORS;

EID: 84864247321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCOSS.2012.19     Document Type: Conference Paper

References (23)

1. G. J. Pottie and W. J. Kaiser, "Wireless integrated network sensors". Commun. ACM, vol. 43, no. 5, pages 51-58, 2000.
2. Siddharth Joshi and Stephen Boyd, "Sensor selection via convex optimization", IEEE Trans. on Signal Proc., vol. 57, No. 2, February 2009.
3. Danny Bickson, Danny Dolev, "Distributed sensor selection via Gaussian belief propagation", CoRR abs/0907.0931, 2009.
4. 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.
5. J. Li and AlRegib G., "Rate-constrained distributed estimation in wireless sensor networks", IEEE Transactions on Signal Processing, vol. 5, pp. 1634-1643. May 2007.
6. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, volume I, Pentice-Hall, Inc, 2007.
7. A. Ribeiro and G. B. Giannakis, "Bandwidth-constrained distributed estimation for wireless sensor networks - part I Gaussian case", IEEE Trans. on Signal Processing, vol. 54, no. 3, pp. 1131-1143, March 2006.
8. 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.
9. E. Portu-Repollés and B. Beferull-Lozano, "Joint sensor selection and routing for distributed estimation in wireless sensor networks", EUSIPCO, Glasgow, Scotland, August 2009.
10. Santosh Shah and B. Beferull-Lozano, "In-network local distributed estimation for power-constrained wireless sensor networks", IEEE 75th Vehicular Technology Conference (VTC-spring'2012), (accepted), Yokohama, Japan, May 2012.
11. J. Li and AlRegib G., "Maximizing network lifetime for estimation in multi-hop wireless sensor networks", Computer Communication and Networks, ICCCN 08, pp. 1-6, August 2008.
12. 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.
13. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, March 2004.
14. Y. Huang, Y. Hua, "Multi-hop progressive decentralized estimation in wireless sensor networks", IEEE Signal Process. Lett., vol. 14, p. 1004-07 , 2007.
15. Bhaskar Krishnamachari, Networking Wireless Sensors, Cambridge University Press, New York, NY, USA, 2005.
16. 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.
17. Guoqiang Mao, Brian D. O. Anderson, and B. Fidan, "Path loss exponent estimation for wireless sensor network localization", The Inter. Journal of Computer and Telecom. Netw., vol. 51, no. 10, pp. 2467-2483, 2007.
18. Srinivasa, S. and Haenggi, M., "Path loss exponent estimation in large wireless networks", In Proceedings of CoRR, 2008.
19. 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.
20. E. Amaldi, L. Liberti, N. Maculan, F. Maffioli, Efficient edge-swapping heuristics for finding minimum fundamental cycle bases, in: C. Ribeiro, S. Martins (Eds.), Experimental and Efficient Algorithms - WEA2004 Proceedings, Vol. 3059 of LNCS, Springer-Verlag, 2004, pp. 15-29.
21. C. H. Papadimitriou and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity. Englewood Cliffs, NJ: Prentice-Hall,1982.
22. 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 Comput., New York, NY: Plenum Press, pp. 85-103, 1972.
23. Robert Sedgewick, Algorithms in Java , Part 5: Graph Algorithms, 3rd Edition, Addison-Wesley Professional, 2003.