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Performance Characterization of Random Proximity Sensor Networks

Capponi, Agostino and Kaplan, Lance and Pilotto, Concetta (2006) Performance Characterization of Random Proximity Sensor Networks. In: Fortieth Asilomar Conference on Signals, Systems and Computers. Conference Record of the Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 493-497. ISBN 978-1-4244-0784-2.

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In this paper, we characterize the localization performance and connectivity of sensors networks consisting of binary proximity sensors using a random sensor management strategy. The sensors are deployed uniformly at random over an area, and to limit the energy dissipation, each sensor node switches between an active and idle state according to random mechanisms regulated by a birth-and-death stochastic process. We first develop an upper bound for the minimum transmitting range which guarantees connectivity of the active nodes in the network with a desired probability. Then, we derive an analytical formula for predicting the mean-squared localization error of the active nodes when assuming a centroid localization scheme. Simulations are used to verify the theoretical claims for various localization schemes that operate only over connected active nodes.

Item Type:Book Section
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Additional Information:© 2006 IEEE. Issue Date: Oct. 29 2006-Nov. 1 2006. Date of Current Version: 07 May 2007.
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INSPEC Accession Number10285213
Series Name:Conference Record of the Asilomar Conference on Signals, Systems and Computers
Record Number:CaltechAUTHORS:20110209-110337547
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Official Citation:Capponi, A.; Kaplan, L.; Pilotto, C.; , "Performance Characterization of Random Proximity Sensor Networks," Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on , vol., no., pp.493-497, Oct. 29 2006-Nov. 1 2006 doi: 10.1109/ACSSC.2006.354796 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:22093
Deposited By: Tony Diaz
Deposited On:10 Mar 2011 23:44
Last Modified:03 Oct 2019 02:34

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