| 基于复合AUVs的水声传感网拓扑优化机制 |
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| 引用本文： | 何明,刘方鑫,时耀华,郑翔,周欢.基于复合AUVs的水声传感网拓扑优化机制[J].控制与决策,2017,32(1):124-130. |
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| 作者姓名： | 何明 刘方鑫 时耀华 郑翔 周欢 |
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| 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\ 第61研究所,北京100071,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,同济大学职业技术教育学院,上海200092 |
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| 基金项目： | 国家自然科学基金项目(61301159,61303267)；江苏省自然科学基金项目(BK20140065,BK20150721,BK 20161469)；江苏省工程技术研究中心项目(BM2014391)；中国博士后基金项目(2015M582786,2016T91017) |
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| 摘 要： | 为提高网络拓扑的健壮性和自适应性, 基于拓扑重构思想提出基于复合自主式水下航行器的水声传感网拓扑智能优化机制来提高网络的连通性; 进一步, 在发现水声传感网拓扑结构形成的内在规律的基础上, 提出三角淡化关键节点网络拓扑优化方法, 该方法有助于提高网络抗毁再生能力. 最后通过仿真实验对比分析验证了所提出机制的有效性, 实验结果表明, 在牺牲约8.5\%覆盖度的条件下, 抗毁性能提高约50\%.
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| 关 键 词： | 水声传感网 复合自主式水下航行器 拓扑优化 |
| 收稿时间： | 2016/1/24 0:00:00 |
| 修稿时间： | 2016/1/24 0:00:00 |
Mechanism of topology optimization for underwater acoustic sensor networks based on double-AUVs |
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| HE Ming,LIU Fang-xin,SHI Yao-hu,ZHENG Xiang and ZHOU Huan.Mechanism of topology optimization for underwater acoustic sensor networks based on double-AUVs[J].Control and Decision,2017,32(1):124-130. |
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| Authors: | HE Ming LIU Fang-xin SHI Yao-hu ZHENG Xiang and ZHOU Huan |
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| Affiliation: | College of Command Information Systems,PLA Science and Technology University,Nanjing210007,China;The 61th Research Institute of PLA,Beijing100071,China,College of Command Information Systems,PLA Science and Technology University,Nanjing210007,China,College of Command Information Systems,PLA Science and Technology University,Nanjing210007,China,Institute of Communications Engineering,PLA Science and Technology University,Nanjing210007,China and Institute of Vacational Education,Tongji University,Shanghai200092,China |
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| Abstract: | In order to optimize the connectivity of underwater acoustic sensor networks(UASNs) and to improve the robustness and adaptability of the network topology based on double-autonomous underwater vehicles(AUVs), a topology optimization mechanism of UASNs is formulated by taking the advantage of the topology optimization idea. After the inherent law of UASNs topology formation being found, the method for optimizing network topology is proposed, which eliminates those key nodes by using the triangle principle and can improve the survivability of network regeneration. The simulation results show that the mechanism can improve survivability of the network effectively about 50{\%} with the network coverage loss 8.5{\%}. |
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