| 面向海洋监测的水声传感器网络节点定位算法 |
| |
| 引用本文： | 陈秋丽,何明,王琰,陈希亮,王立辉.面向海洋监测的水声传感器网络节点定位算法[J].计算机科学,2015,42(2):29-32. |
| |
| 作者姓名： | 陈秋丽 何明 王琰 陈希亮 王立辉 |
| |
| 作者单位： | 解放军理工大学指挥信息系统学院 南京210007,解放军理工大学指挥信息系统学院 南京210007,解放军理工大学通信工程学院 南京210007;解放军第61研究所 北京710004,解放军理工大学指挥信息系统学院 南京210007,东南大学仪器科学与工程学院 南京210096 |
| |
| 基金项目： | 本文受国家自然科学基金项目(61203192),江苏省自然科学基金项目(BK2012326)资助 |
| |
| 摘 要： | 为解决面向海洋监测应用的大规模水声传感器网络的节点定位问题,首先,采用整数线性规划理论,提出了多目标约束的水面网关优化部署策略;其次,针对水声传感器网络不同节点的特点,设计不同的定位方案,提出了有预测性的水声传感器网络节点部署算法。仿真实验验证了该方法的可行性与有效性,结果表明,该算法能明显提升节点的定位范围,降低通信能耗,减小定位误差,为水声传感器网络的海洋大规模部署提供相应技术指导。
|
| 关 键 词： | 水声传感器网络 水面网关部署 节点部署 移动预测 |
| 收稿时间： | 2014/3/18 0:00:00 |
| 修稿时间： | 2014/7/17 0:00:00 |
Localization Algorithm of Underwater Acoustic Sensor Network Oriented to Marine Monitoring |
| |
| CHEN Qiu-li,HE Ming,WANG Yan,CHEN Xi-liang and WANG Li-hui.Localization Algorithm of Underwater Acoustic Sensor Network Oriented to Marine Monitoring[J].Computer Science,2015,42(2):29-32. |
| |
| Authors: | CHEN Qiu-li HE Ming WANG Yan CHEN Xi-liang and WANG Li-hui |
| |
| Affiliation: | College of Command Information System,PLA Science and Technology University,Nanjing 210007,China,College of Command Information System,PLA Science and Technology University,Nanjing 210007,China,College of Communication Engineering,PLA Science and Technology University,Nanjing 210007,China;The 61th Research Institute of PLA,Beijing 710004,China,College of Command Information System,PLA Science and Technology University,Nanjing 210007,China and School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China |
| |
| Abstract: | To solve the nodes location problem of large-scale underwater acoustic sensor networks (UASNs) for marine monitoring application,firstly,the integer linear programming theory was used to create the water gateway optimization deployment strategy based on multi-objective constraint.Secondly,a predictive algorithm of UASNs nodes deployment was put forward through the layered orientation.Simulation proves the feasibility and effectiveness of the method.The experimental results show that the localization algorithm with predictability can significantly improve the nodes positioning range,decrease the energy consumption of communication,reduce the positioning error,and research achievements can provide the corresponding technical guidance for ocean large-scale deployment of UASNs. |
| |
| Keywords: | UASNs Surface-level gateways deployment Nodes deployment Mobility prediction |
| 本文献已被 CNKI 等数据库收录！ |
|
点击此处可从《计算机科学》下载全文 |
|
