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Mathematical Programming Techniques for Sensor Networks
Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611-6595, United States
University of Florida Research and Engineering Education Facility (UF-REEF), Department of Industrial and Systems Engineering, 1350 N Poquito Road, Shalimar, FL 32579, United States
* Author to whom correspondence should be addressed.
Received: 31 October 2008; in revised form: 2 March 2009 / Accepted: 2 March 2009 / Published: 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
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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.
Sorokin A, Boyko N, Boginski V, Uryasev S, Pardalos PM. Mathematical Programming Techniques for Sensor Networks. Algorithms. 2009; 2(1):565-581.
Sorokin, Alexey; Boyko, Nikita; Boginski, Vladimir; Uryasev, Stan; Pardalos, Panos M. 2009. "Mathematical Programming Techniques for Sensor Networks." Algorithms 2, no. 1: 565-581.