Browse wiki

From MurrayWiki
Jump to: navigation, search
Effective Sensor Scheduling Schemes Employing Feedback in the Communication Loop
Abstract Abstract—In this paper, we consider a st
Abstract—In this paper, we consider a state estimation problem over a bandwidth limited network. A sensor network consisting of N sensors is used to observe the states of M plants, but only p · N sensors can transmit their measurements to a centralized estimator at each time. Therefore a suitable scheme that schedules the proper sensors to access the network at each time so that the total estimation error is minimized is required. We propose four different sensor scheduling schemes. The static and stochastic schemes assume no feedback from the estimator to the scheduler, while the two dynamic schemes, Maximum Error First (MEF) and Maximum Deduction First (MDF) assume such feedback is available. We compare the four schemes via some examples and show MEF and MDF schemes are better than the static and stochastic schemes, which demonstrates that feedback can play an important role in this remote state estimation problem. We also show that MDF is better than MEF as MDF considers the total estimation error while MEF considers the individual estimation error.
considers the individual estimation error.  +
Authors Ling Shi, Michael Epstein, Bruno Sinopoli and Richard.M.Murray  +
ID 2006s  +
Source Submitted, 2007 American Control Conference (ACC)  +
Tag sesm07-acc  +
Title Effective Sensor Scheduling Schemes Employing Feedback in the Communication Loop +
Type Conference Submission  +
Categories Papers
Modification date
This property is a special property in this wiki.
15 May 2016 06:17:31  +
URL
This property is a special property in this wiki.
http://www.cds.caltech.edu/~murray/preprints/sesm07-acc.pdf  +
hide properties that link here 
Effective Sensor Scheduling Schemes Employing Feedback in the Communication Loop + Title
 

 

Enter the name of the page to start browsing from.