@inproceedings{91c1babf6ba84740872704b2f10f2b5f,
title = "A genetic algorithm for sensor deployment based on two-dimensional operators",
abstract = "In this paper, we propose a novel and efficient genetic algorithm to the optimal sensor placement of nodes for a wireless sensor network designed to monitor enemy vehicles in a hostile region. A notable feature of our genetic algorithm is the combination of mutation derived from physics and crossover in which heterogeneity between genes is removed by pairing nearest twodimensional genes. Making experiments by a new simulator that is developed to improve time performance of the sensor deployment simulator based on the geographic information system, we demonstrated the superiority of the proposed genetic algorithm.",
keywords = "Genetic algorithm, Sensor deployment",
author = "Seo, {Jae Hyun} and Ryou, {Hwang Bin} and Kim, {Yong Hyuk} and Kang, {Seok Joong}",
year = "2008",
doi = "10.1145/1363686.1364121",
language = "English",
isbn = "9781595937537",
series = "Proceedings of the ACM Symposium on Applied Computing",
pages = "1812--1813",
booktitle = "Proceedings of the 23rd Annual ACM Symposium on Applied Computing, SAC'08",
note = "23rd Annual ACM Symposium on Applied Computing, SAC'08 ; Conference date: 16-03-2008 Through 20-03-2008",
}