DocumentCode
2710219
Title
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method
Author
Ivaldi, Serena ; Baglietto, Marco ; Davoli, Franco ; Zoppoli, Riccardo
Author_Institution
Dept. of Commun., Syst. & Comput., Univ. of Genoa, Genoa, Italy
fYear
2009
fDate
14-19 June 2009
Firstpage
1372
Lastpage
1379
Abstract
The Extended RItz Method (ERIM) can be used to face optimal decision and control problems when finding the global solution is hard, because the problem is ill-conditioned or we can only compute the solution via numerical approximations. It consists in constraining the control functions to take on a fixed structure with a certain number of free parameters to be optimized. We will show the use of such method for the solution of a communication problem in a mixed (analog/digital) transmission environment. A noisy channel is used to convey information from a limited-energy analog device to a sink; in the presence of a binary link, how can we reduce the energy spent for transmission without renouncing reconstruction capability and real-time encoding?
Keywords
approximation theory; distributed sensors; mixed analogue-digital integrated circuits; optimal control; real-time systems; binary link; communication problem; control functions; control problems; energy constrained sensor network; extended Ritz method; limited-energy analog device; mixed analog/digital transmission environment; noisy channel; numerical approximation; optimal control; optimal decision; real-time encoding; reconstruction capability; team theory; Communication system control; Constraint theory; Cost function; Decoding; Gaussian noise; Noise measurement; Nonlinear distortion; Optimal control; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178821
Filename
5178821
Link To Document