A simple peer-to-peer algorithm for distributed optimization in sensor networks

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2007, Pages 4705-4710

  Johansson, Björn ^a   Rabi, Maben ^a   Johansson, Mikael ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; SENSOR NETWORKS;

COMMUNICATION COST; DECENTRALIZED ALGORITHMS; PEER-TO-PEER ALGORITHM;

PARALLEL ALGORITHMS;

EID: 62749197577     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2007.4434888     Document Type: Conference Paper

References (9)

1. D.P. Bertsekas, A. Nedlić, and A.E. Ozdaglar, Convex Analysis and Optimization. Athena Scientific, 2003.
2. S. Boyd, P. Diaconis, and L. Xiao, Fastest mixing markov chain on a graph. SIAM Review, 46:667-689, 2004.
3. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.
4. P. Kall and S. W. Wallace. Stochastic Programming. John Wiley & Sons, 1994.
5. J. G. Kemeny and J. L. Snell. Finite Markov Chains. Van Nostrand, 1960.
6. Angelia Nedić, Subgradient Methods for Convex Minimization. PhD thesis, MIT, 2002.
7. M. Rabbat and R. Nowak, Distributed optimization in sensor networks, In IPSN, 2004.
8. S.-H. Son, M. Chiang, S.R. Kulkarni, and S.C. Schwartz, The value of clustering in distributed estimation for sensor networks. In IEEE Wirelesscom, 2005.
9. L. Xiao, S. Boyd, and S. Lall, A space-time diffusion scheme for peer-to-peer least-squares estimation, In IPSN, 2006.