Paper Info
Title
Optimal control of communication in energy constrained sensor networks through team theory and extended RItz method
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?
Year
DOI
Venue
2009
10.1109/IJCNN.2009.5178821
IJCNN
Keywords
Field
DocType
limited-energy analog device,team theory,communication problem,fixed structure,optimal control,extended ritz method,sensor network,control problem,transmission environment,certain number,binary link,global solution,control function,decoding,approximation theory,noise measurement,artificial neural networks,optimal decision,probability density function,testing,signal to noise ratio,gaussian noise,real time,real time systems,data mining,cost function,nonlinear distortion
Mathematical optimization,Analog device,Optimal decision,Optimal control,Computer science,Approximation theory,Communication channel,Artificial intelligence,Decoding methods,Ritz method,Machine learning,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
2161-4393
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Serena Ivaldi116319.72
Marco Baglietto221516.91
Franco Davoli368768.66
R. Zoppoli427951.51