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Algorithms 2009, 2(1), 565-581; doi:10.3390/a2010565
Review

Mathematical Programming Techniques for Sensor Networks

1
, 1, 2
, 1
 and 1,*
Received: 31 October 2008; in revised form: 2 March 2009 / Accepted: 2 March 2009 / Published: 17 March 2009
(This article belongs to the Special Issue Sensor Algorithms)
Download PDF [365 KB, uploaded 17 March 2009]
Abstract: This paper presents a survey describing recent developments in the area of mathematical programming techniques for various types of sensor network applications. We discuss mathematical programming formulations associated with these applications, as well as methods for solving the corresponding problems. We also address some of the challenges arising in this area, including both conceptual and computational aspects.
Keywords: Sensor Networks; Localization; Optimization; Scheduling; Interdiction Sensor Networks; Localization; Optimization; Scheduling; Interdiction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Sorokin, A.; Boyko, N.; Boginski, V.; Uryasev, S.; Pardalos, P.M. Mathematical Programming Techniques for Sensor Networks. Algorithms 2009, 2, 565-581.

AMA Style

Sorokin A, Boyko N, Boginski V, Uryasev S, Pardalos PM. Mathematical Programming Techniques for Sensor Networks. Algorithms. 2009; 2(1):565-581.

Chicago/Turabian Style

Sorokin, Alexey; Boyko, Nikita; Boginski, Vladimir; Uryasev, Stan; Pardalos, Panos M. 2009. "Mathematical Programming Techniques for Sensor Networks." Algorithms 2, no. 1: 565-581.


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