Next Article in Journal
Recent Advances in the Computational Discovery of Transcription Factor Binding Sites
Next Article in Special Issue
Simulation of EO-1 Hyperion Data from ALI Multispectral Data Based on the Spectral Reconstruction Approach
Previous Article in Journal
Multi-Band Spectral Subtraction Method for Electrolarynx Speech Enhancement
Previous Article in Special Issue
A Review of Closed-Loop Algorithms for Glycemic Control in the Treatment of Type 1 Diabetes
Algorithms 2009, 2(1), 565-581; doi:10.3390/a2010565

Mathematical Programming Techniques for Sensor Networks

1, 2
1 Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611-6595, United States 2 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 / Revised: 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]


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 (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
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.

View more citation formats

Article Metrics

For more information on the journal, click here


Cited By

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert