| 基于改进的果蝇优化算法的WSN节点部署设计 |
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| 引用本文： | 姚勇涛,吴雪,吴喆.基于改进的果蝇优化算法的WSN节点部署设计[J].医学教育探索,2016(4):545-551. |
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| 作者姓名： | 姚勇涛 吴雪 吴喆 |
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| 作者单位： | 华东理工大学信息科学与工程学院, 上海 200237,华东理工大学信息科学与工程学院, 上海 200237,华东理工大学信息科学与工程学院, 上海 200237 |
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| 摘 要： | 针对非均匀监测点的节点部署问题，设计并实现了一种简单、实用的果蝇优化算法（WSN-IFOA），构造了适用于节点部署的味道浓度函数。利用果蝇群体的随机寻优性，能够保证部署尽可能少的传感器节点使网络覆盖和连通。实验结果表明该算法在部署效果上优于基本蚁群算法，并证明了算法的可行性和有效性。
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| 关 键 词： | 节点部署 无线传感器网络 果蝇优化算法 覆盖 连通 |
| 收稿时间： | 2015/10/30 0:00:00 |
Wireless Sensor Network Node Deployment Design Based on Improved Fruit Fly Optimization Algorithm |
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| YAO Yong-tao,WU Xue and WU Zhe.Wireless Sensor Network Node Deployment Design Based on Improved Fruit Fly Optimization Algorithm[J].Researches in Medical Education,2016(4):545-551. |
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| Authors: | YAO Yong-tao WU Xue and WU Zhe |
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| Institution: | School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China,School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China and School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | Aiming at the problem of non-uniform monitoring node deployment,this paper proposes an improved fruit fly algorithm,WSN-IFOA,by constructing the flavor concentration function suitable for deployment of nodes.The proposed algorithm utilizes the stochastic optimization of fruit fly group to ensure the coverage and communication of network by means of sensor node as few as possible.It is shown from experiment results that the proposed algorithm is superior to the classical ant colony algorithm and is feasible and effective. |
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| Keywords: | node deployment wireless sensor network fruit fly optimization algorithm coverage connection |
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