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
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;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178821
