基于拓扑重构的水下移动无线传感器网络拓扑优化

何明; 梁文辉; 陈秋丽; 陈希亮; 陈剑

doi:10.11959/j.issn.1000-436x.2015155

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基于拓扑重构的水下移动无线传感器网络拓扑优化

学术论文 | 更新时间：2024-06-05

- 基于拓扑重构的水下移动无线传感器网络拓扑优化
- Optimization method through topology reconfiguration for mobile underwater wireless sensor networks
- 通信学报 2015年36卷第6期页码：78-87
- 作者机构：
  
  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
- 作者简介：
  
  [ "何明（1978-），男，新疆石河子人，博士，解放军理工大学副教授，主要研究方向为物联网、水声传感网、无线传感网可靠性。" ]
  [ "梁文辉（1986-），男，甘肃平凉人，解放军理工大学硕士生，主要研究方向为水声传感器网络。" ]
  [ "陈秋丽（1990-），女，湖北宜城人，解放军理工大学硕士生，主要研究方向为水声传感器网络。" ]
  [ "陈希亮（1985-），男，湖北十堰人，解放军理工大学讲师，主要研究方向为建模与仿真。" ]
  [ "陈剑（1980-），男，江西萍乡人，博士，解放军理工大学讲师，主要研究方向为移动互联网、移动自组织网络、无线局域网、无线网状网等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61301159);江苏省自然科学基金资助项目(BK20140065);江苏省工程技术研究中心基金资助项目(BM2014391)
- DOI：10.11959/j.issn.1000-436x.2015155
  中图分类号： TP393
- 网络出版日期：2015-06，
  
  纸质出版日期：2015-06-25
- 稿件说明：
移动端阅览
何明, 梁文辉, 陈秋丽, 等. 基于拓扑重构的水下移动无线传感器网络拓扑优化[J]. 通信学报, 2015,36(6):78-87.

Ming HE, Wen-hui LIANG, Qiu-li CHEN, et al. Optimization method through topology reconfiguration for mobile underwater wireless sensor networks[J]. Journal on communications, 2015, 36(6): 78-87.
何明, 梁文辉, 陈秋丽, 等. 基于拓扑重构的水下移动无线传感器网络拓扑优化[J]. 通信学报, 2015,36(6):78-87. DOI： 10.11959/j.issn.1000-436x.2015155.

Ming HE, Wen-hui LIANG, Qiu-li CHEN, et al. Optimization method through topology reconfiguration for mobile underwater wireless sensor networks[J]. Journal on communications, 2015, 36(6): 78-87. DOI： 10.11959/j.issn.1000-436x.2015155.

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。

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.

关键词

Keywords

references

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