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Genetic Algorithm based Wireless Sensor Network Localization

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成果类型:
期刊论文
作者:
Zhang, Qingguo*;Wang, Jinghua;Jin, Cong;Ye, Junmin;Ma, Changlin;...
通讯作者:
Zhang, Qingguo
作者机构:
[Zhang, Qingguo; Jin, Cong; Ye, Junmin; Zhang, Wei; Ma, Changlin; Wang, Jinghua] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Zhang, Qingguo] H
Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS
年:
2008
页码:
608-613
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network. This paper proposes a genetic algorithm based localization(GAL). The proposed genetic algorithm adopts two new genetic operators: single-vertex-neighborhood mutation and the descend-based arithmetic crossover. Four example problems are used to evaluate the performance of the proposed algorithm. Simulation r...

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