水下移动无线传感器网络拓扑愈合与优化
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作者单位:

1. 解放军理工大学指挥信息系统学院,南京210007;
2. 解放军61345 部队, 西安710004;
3. 东南大学仪器科学与工程学院,南京210096.

作者简介:

何明

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中图分类号:

TP29

基金项目:

国家自然科学基金面上项目(61203192);江苏省自然科学基金项目(BK2011124, BK2012326, BK2010129).


Topology self-healing algorithm of mobile underwater wireless sensor networks
Author:
Affiliation:

1. College of Command Information Systems, PLA Science and Technology University, Nanjing 210007, China;
2. Unit 61345 of PLA,Xi’an 710004,China;
3. School of Instrument Science and Engineering,Southeast University, Nanjing 210096,China.

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    摘要:

    为解决水下移动无线传感器网络(MUWSNs) 存在的拓扑失效问题, 考虑水流对MUWSNs网络拓扑的影响, 提出一种水下移动无线传感器网络拓扑愈合算法. 采用鱼群算法部署AUVs 节点, 建立系统的失效感知机制、消息传递机制和移动愈合方案, 并在此基础上进一步设计鱼群启发的MUWSNs拓扑优化方案. 通过两组仿真实验分别验证了方案的可行性和算法的有效性. 实验结果显示, 拓扑愈合方案可确保网络对监测事件的覆盖度维持在90%左右, 且拓扑优化方案能够进一步提高网络覆盖度.

    Abstract:

    :To restore the topology failure of mobile underwater wireless sensor networks(MUWSNs) brought by dynamic evolution features, a mobility model used to simulate the motion of underwater entities is constructed with considering the influence of water flow to MUWSNs network topology. For restoring topology failure of MUWSNs caused by mobility of underwater entities, a topology healing algorithm is proposed. The fish-swarm algorithm is used to deploy AUVs nodes, thus the system failure perception mechanism, messaging mechanism, and mobile healing scheme are constructed. On the basis of the healing algorithm, the fish inspired MUWSNs topology optimization scheme is designed. The two groups experimental results show the feasibility of this model and the effectiveness of the proposed algorithm. It is found in simulations that the algorithm can ensure network coverage maintained at about 90%, and topology optimization scheme can improve the network coverage.

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何明 梁文辉 陈秋丽 陈希亮 王立辉.水下移动无线传感器网络拓扑愈合与优化[J].控制与决策,2015,30(2):251-255

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  • 收稿日期:2014-01-12
  • 最后修改日期:2014-07-13
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  • 在线发布日期: 2015-02-20
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