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Resource optimisation in a wireless sensor network with guaranteed estimator performance

Shi, L. and Capponi, A. and Johansson, K. H. and Murray, R. M. (2010) Resource optimisation in a wireless sensor network with guaranteed estimator performance. IET Control Theory and Applications, 4 (5). pp. 710-723. ISSN 1751-8644.

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New control paradigms are needed for large networks of wireless sensors and actuators in order to efficiently utilise system resources. In this study, the authors consider the problem of discrete-time state estimation over a wireless sensor network. Given a tree that represents the sensor communications with the fusion centre, the authors derive the optimal estimation algorithm at the fusion centre, and provide a closedform expression for the steady-state error covariance matrix. They then present a tree reconfiguration algorithm that produces a sensor tree that has low overall energy consumption and guarantees a desired level of estimation quality at the fusion centre. The authors further propose a sensor tree construction and scheduling algorithm that leads to a longer network lifetime than the tree reconfiguration algorithm. Examples are provided throughout the paper to demonstrate the algorithms and theory developed.

Item Type:Article
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URLURL TypeDescription DOIArticle
Murray, R. M.0000-0002-5785-7481
Additional Information:© 2010 The Institution of Engineering and Technology. Received on 28th February 2009. Revised on 10th June 2009; published online 7 May 2010. Some preliminary results [2] of this study were presented by the same authors (excluding the second author) at the 46th IEEE Conference on Decision and Control at New Orleans, 2007. The work by L. Shi is supported by grant DAG08/09.EG06. The work by A. Capponi is supported by a fellowship granted by the Social and Information Sciences Laboratory at Caltech. The work by K. H. Johansson is supported by the Swedish Research Council and the Swedish Foundation for Strategic Research. The work by R. Murray is supported in part by AFOSR grant FA9550-04-1-0169.
Funding AgencyGrant Number
Caltech Social and Information Sciences LaboratoryUNSPECIFIED
Swedish Research CouncilUNSPECIFIED
Swedish Foundation for Strategic ResearchUNSPECIFIED
Air Force Office of Scientific Research (AFOSR)FA9550-04-1-0169
Air Force Office of Scientific Research (AFOSR)DAG08/09.EG06
Issue or Number:5
Classification Code:Inspec Classification Codes: B6250K; B0210; C3370H; C1110; C1340D
Record Number:CaltechAUTHORS:20100712-154830591
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Official Citation:Resource optimisation in a wireless sensor network with guaranteed estimator performance L. Shi, A. Capponi, K.H. Johansson, and R.M. Murray, IET Control Theory Appl. 4, 710 (2010), DOI:10.1049/iet-cta.2009.0104
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19004
Deposited By: Tony Diaz
Deposited On:14 Jul 2010 23:29
Last Modified:03 Oct 2019 01:50

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