@inproceedings{461ef97246584e96b3da852b777e7093,
title = "STRATEGIES FOR SENSOR SELECTION IN NETWORKS MONITORING CHEMICAL DIFFUSION SCENARIOS",
abstract = "This paper addresses the task of tracking the diffusion of a toxic chemical using distributed sensor networks. Assuming a Gaussian-puff model for chemical release and diffusion, the tracking problem is formulated as a parameter estimation task, carried out by minimizing mean squared error (M.S.E), computed from training samples collected by the sensors and predicted concentrations based on estimated parameters. A hybrid evolutionary algorithm utilizing a Particle Swarm Optimizer (PSO) coupled with Sequential Quadratic Programming (SQP), is proposed to minimize MSE. We also propose and evaluate several sensor selection strategies to query informative sensors. Finally, we address parameter estimation under time varying wind components.",
author = "Nikhil Padhye and Mohan, {Chilukuri K.} and Mehrotra, {Kishan G.} and Varshney, {Pramod K.}",
note = "Publisher Copyright: Copyright {\textcopyright} (2009) by the International Society for Computers and Their Applications. All rights reserved.; 1st International Conference on Sensor Networks and Applications, SNA 2009 ; Conference date: 04-11-2009 Through 06-11-2009",
year = "2009",
language = "English (US)",
series = "1st International Conference on Sensor Networks and Applications 2009, SNA 2009",
publisher = "International Society for Computers and Their Applications (ISCA)",
pages = "7--12",
editor = "Lee, {Gordon K.}",
booktitle = "1st International Conference on Sensor Networks and Applications 2009, SNA 2009",
address = "United States",
}