DocumentCode :
1865927
Title :
An iterative algorithm for optimizing the conditional lifetimes of distributed sensors
Author :
Dagher, Joseph C. ; Marcellin, Michael W. ; Neifeld, Mark A.
Author_Institution :
Univ. of Arizona, Tucson
fYear :
2007
fDate :
Jan. 29 2007-Feb. 2 2007
Firstpage :
261
Lastpage :
267
Abstract :
A provably optimal algorithm is developed for maximizing the lifetime of sensor networks. The algorithm attempts to find a Pareto Optimal solution in an iterative fashion. In the first iteration, the minimum lifetime of the network is maximized. If the solution is not Pareto Optimal a second iteration is performed which maximizes the second minimum lifetime subject to the minimum lifetime being maximum. At the nth iteration, the algorithm maximizes the nth minimum lifetime subject to the (n - 1)th minimum lifetime being maximum, subject to the (n -2)th minimum lifetime being maximum, etc. The algorithm can be stopped at any iteration n.
Keywords :
Pareto optimisation; distributed sensors; iterative methods; sensor fusion; Pareto Optimal solution; conditional lifetimes; distributed sensors; iterative algorithm; optimal algorithm; sensor networks; Base stations; Costs; Educational institutions; Iterative algorithms; Linear programming; Optical fiber networks; Optical sensors; Optical signal processing; Research and development; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Applications Workshop, 2007
Conference_Location :
La Jolla, CA
Print_ISBN :
978-0-615-15314-8
Type :
conf
DOI :
10.1109/ITA.2007.4357590
Filename :
4357590
Link To Document :
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