@inproceedings{c220e21b83894042824f2c7518348370,
title = "A fast scheduling algorithm for detection and localization of hidden objects based on data gathering in wireless sensor networks",
abstract = "The need for the search and localization of hidden or lost objects arises in many military and civil applications. Suppose a set of underground tunnels is hidden in an area of interest. In order to efficiently detect and neutralize the targets a network of wireless sensors is used which provide acoustic, seismic, electromagnetic, gravimetric and other information about the targets. The information is automatically put together in order to determine position of the targets. The problem considered in this paper is to find optimal routes for mobile agents gathering the information. The problem is formulated as the constrained assignment problem and a fast scheduling algorithm for its solution is developed.",
keywords = "Detection-and-localization problem, Hidden objects, Routing-and-dispatching algorithm, Underground tunnels",
author = "Eugene Levner and Boris Kriheli and Amir Elalouf and Dmitry Tsadikovich",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 13th Mexican International Conference on Artificial Intelligence, MICAI 2014 ; Conference date: 16-11-2014 Through 22-11-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-13650-9\_38",
language = "الإنجليزيّة",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "436--450",
editor = "Alexander Gelbukh and Castro-Espinoza, \{F{\'e}lix A.\} and Galicia-Haro, \{Sof{\'i}a N.\}",
booktitle = "Nature-Inspired Computation and Machine Learning - 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Proceedings",
address = "ألمانيا",
}