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一种用于机场噪声监测的WSN节点部署算法
引用本文:徐晶晶,陈兵,钱红燕.一种用于机场噪声监测的WSN节点部署算法[J].电子科技,2014,27(7):14-18.
作者姓名:徐晶晶  陈兵  钱红燕
作者单位:(南京航空航天大学 计算机科学与技术学院,江苏 南京 210016)
基金项目:中国民航信息技术科研基地开放课题基金资助项目(CAAC-ITRB-201301)
摘    要:针对监测系统低成本、高监测精度的需求,提出一种适用于机场噪声监测系统的WSN节点部署算法:单个飞机噪声事件下基于改进遗传算法的优化部署算法,设计了基于飞机噪声事件的覆盖连通集模型,规范了遗传约束函数,并采用精英保留机制,提高优化速度,引入均匀设计法构造变异算子,增强了局部搜索能力。仿真实验表明,该算法能快速有效地实现部署节点数目少、飞机噪声事件覆盖率高的优化部署,同时有效降低了成本、提高了监测噪声数据的准确性

关 键 词:无线传感器网络  机场噪声监测  飞机噪声事件  遗传算法  节点部署  

A WSN Node Deployment Algorithm for Airport Noise Monitoring
XU Jingjing,CHEN Bing,QIAN Hongyan.A WSN Node Deployment Algorithm for Airport Noise Monitoring[J].Electronic Science and Technology,2014,27(7):14-18.
Authors:XU Jingjing  CHEN Bing  QIAN Hongyan
Affiliation:(College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:The paper proposes a WSN node deployment algorithm ( Genetic Algorithm Optimize Deployment Algorithm based on Single Aircraft Noise Event, named SANE-GAODA) to meet the demands of low cost and high precision airport noise monitoring systems. The cover connected set is designed by introducing single aircraft noise event with regulated constraint functions ; the elite retain mechanism is adopted to increase the speed of optimization ; and the idea of uniform design method is introduced to achieve the effective local search. Simulation results show that the optimal coverage set of nodes with less nodes and higher coverage percentage of airport noise events are achieved by the proposed algorithm.
Keywords:WSN  airport noise monitor  airport noise event  genetic algorithm  sensor deployment
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