NDLI: A Relaxation Approach to Dynamic Sensor Selection in Large-Scale Wireless Networks

Content Provider	IEEE Xplore Digital Library
Author	Weimer, J.E. Sinopoli, B. Krogh, B.H.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA (Weimer, J.E.; Sinopoli, B.)
Abstract	Wireless sensor networks (WSNs) require more complex sensor selection strategies than other distributed networks to perform optimal state estimation. In addition to constraints associated with distributed state estimation, wireless sensor networks have limitations on bandwidth, energy consumption, and transmission range. This paper introduces and empirically evaluates a dynamic sensor selection strategy. A discrete-time Kalman filter is used for state estimation. At each time step, a subset of sensors is selected to gather data on the following time step because of power and bandwidth constraints that prohibit using all of the sensors. A standard criterion for selecting this subset of sensors is to maximize the information to be gained by minimizing a function of the next-step error covariance matrix. We propose a relaxation of this non-convex combinatorial optimization problem and demonstrate its applicability to large-scale sensor networks. The proposed dynamic sensor selection strategy is compared empirically to other dynamic and static sensor selection strategies with respect to state estimation performance of a convection-dispersion field arising from the problem of surface-based monitoring of $CO_{2}$ sequestration sites.
Starting Page	501
Ending Page	506
File Size	219996
Page Count	6
File Format	PDF
ISBN	9780769531731
ISSN	15450678
DOI	10.1109/ICDCS.Workshops.2008.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Large-scale systems Sensor Selection Sensor Networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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