通信学报 ›› 2015, Vol. 36 ›› Issue (6): 78-87.doi: 10.11959/j.issn.1000-436x.2015155

• 学术论文 • 上一篇    下一篇

基于拓扑重构的水下移动无线传感器网络拓扑优化

何明1,2,梁文辉1,3,陈秋丽1,陈希亮1,陈剑1   

  1. 1 解放军理工大学 指挥信息系统学院,江苏 南京 210007
    2 解放军第61研究所,北京 100071
    3 解放军61345部队,陕西 西安 710004
  • 出版日期:2015-06-25 发布日期:2017-05-11
  • 基金资助:
    国家自然科学基金资助项目;江苏省自然科学基金资助项目;江苏省工程技术研究中心基金资助项目

Optimization method through topology reconfiguration for mobile underwater wireless sensor networks

Ming HE1,2,Wen-hui LIANG1,3,Qiu-li CHEN1,Xi-liang CHEN1,Jian CHEN1   

  1. 1 College of Command Information System,PLA Science and Technology University,Nanjing 210007,China
    2 The 61th Research Institute of PLA,Beijing 100071,China
    3 61345 Armies,PLA,Xi’an 710004,China
  • Online:2015-06-25 Published:2017-05-11
  • Supported by:
    The National Natural Science Foundation of China;The Natural Science Foundation of Jiangsu Province;Engineering Research Center of Jiangsu Province

摘要:

针对水下移动无线传感器网络(MUWSN,mobile underwater wireless sensor networks)拓扑随洋流动态演化对其网络性能会产生很大影响,提出了一种基于拓扑重构的水下移动无线传感器网络拓扑优化方法,首先通过模拟鱼群行为对传感器节点位置进行调整,优化网络覆盖度;其次,利用冗余节点修复网络中不连通位置,消除关键节点,优化网络连通性,最后,通过仿真对比实验验证了该方法的合理性和有效性。实验结果表明,所提算法能在较低能耗下,保证网络覆盖度长期维持在97%左右,连通率达到89%以上。

关键词: 水下移动无线传感器网络, 拓扑优化, 自主式水下航行器

Abstract:

The topology of mobile underwater wireless sensor networks (MUWSN) evolves dynamically with ocean currents,which will have great impact on network performance.To solve this problem,a topology optimization method for MUWSNs is proposed based on topology reconfiguration.Firstly,the proposed method optimizes the coverage rate of MUWSNs by adjusting the location of sensor nodes through simulating fish behaviors.Secondly,to optimize the connectivity of MUWSNs,the proposed method repairs disconnected positions and eliminates key nodes in MUWSN through using redundant nodes.Finally,simulation results verify the rationality and validity of the proposed method.Experimental results show that the algorithm can guarantee the network coverage is maintained at about 97%,connectivity rate above 89%,with lower energy consumption.

Key words: mobile underwater wireless sensor networks, topology optimization, autonomous underwater vehicle