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2021-08-06T01:07:39+00:00
Effective Sensor Scheduling Schemes Employing Feedback in the Communication Loop
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AbstractâIn 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 Â· 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.
Ling Shi, Michael Epstein, Bruno Sinopoli and Richard.M.Murray
2006s
Submitted, 2007 American Control Conference (ACC)
sesm07-acc
Conference Submission
2016-05-15T06:17:31Z
2457523.7621644
Effective Sensor Scheduling Schemes Employing Feedback in the Communication Loop
Title
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