A Genetic Algorithm for Sensor Deployment Based on Two-Dimensional Operators
被引:0
作者:
Seo, Jae-Hyun
论文数: 0引用数: 0
h-index: 0
机构:
Kwangwoon Univ, Dept Comp Sci, Seoul 139701, South KoreaKwangwoon Univ, Dept Comp Sci, Seoul 139701, South Korea
Seo, Jae-Hyun
[1
]
论文数: 引用数:
h-index:
机构:
Kim, Yong-Hyuk
[1
]
Ryou, Hwang-Bin
论文数: 0引用数: 0
h-index: 0
机构:
Kwangwoon Univ, Dept Comp Sci, Seoul 139701, South KoreaKwangwoon Univ, Dept Comp Sci, Seoul 139701, South Korea
Ryou, Hwang-Bin
[1
]
Kang, Seok-Joong
论文数: 0引用数: 0
h-index: 0
机构:
Kwangwoon Univ, Dept Comp Sci, Seoul 139701, South KoreaKwangwoon Univ, Dept Comp Sci, Seoul 139701, South Korea
Kang, Seok-Joong
[1
]
机构:
[1] Kwangwoon Univ, Dept Comp Sci, Seoul 139701, South Korea
来源:
APPLIED COMPUTING 2008, VOLS 1-3
|
2008年
关键词:
Genetic algorithm;
sensor deployment;
D O I:
暂无
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
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 two-dimensional 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.