On a rate control protocol for networked estimation
Vaibhav Katewa, Vijay Gupta · 2011
We study congestion control in a communication network that is supporting remote estimation of multiple processes. A stochastic rate control protocol is developed using the network utility maximization (NUM) framework. The decentralized protocol avoids congestion by regulating the transmission probabilities of the sources. The presence of estimation costs poses new challenges; however, for low congestion, the form of rate controller resembles that of the standard TCP rate controller.