| 基于分簇的无线传感器网络编码算法 |
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| 引用本文： | 钟达夫,薛晶晶,唐懿芳,赵仕俊. 基于分簇的无线传感器网络编码算法[J]. 计算机系统应用, 2018, 27(11): 174-179 |
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| 作者姓名： | 钟达夫 薛晶晶 唐懿芳 赵仕俊 |
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| 作者单位： | 广东科学技术职业学院 计算机工程技术学院(软件学院), 珠海 519090;企业信息化与物联网测控技术四川省高校重点实验室, 自贡 643099,延安大学 物理与电子信息学院, 延安 716000,广东科学技术职业学院 计算机工程技术学院(软件学院), 珠海 519090,中国石油大学(华东) 信息与控制工程学院, 青岛 266580 |
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| 基金项目： | 企业信息化与物联网测控技术四川省高校重点实验室基金（2016WYJ01）；广东科学技术职业学院校级科研项目（XJPY2016018） |
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| 摘 要： | 通过均衡网络能量消耗和延长网络生命周期，以提高无线传感器网络的能量利用率，提出了在无线传感器网络动态成簇算法中对簇头节点进行网络编码的路由算法.在簇的建立阶段，采用节点剩余能量和接收信号强度来完成分簇，解决了部分节点因能耗过度而过早失效的问题；在数据采集阶段，采用基于簇头进行随机线性网络编码的方法，有效降低了传输到网关节点数据包的数量，减少了网络能量的耗用.仿真实验结果表明，该算法与标准协议AODV相比，有效的均衡了节点能量消耗，提高了能量使用效率，改善了网络吞吐量和端到端延迟.
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| 关 键 词： | 无线传感器网络 动态分簇 网络编码 网络生命周期 |
| 收稿时间： | 2018-03-21 |
| 修稿时间： | 2018-04-18 |
Wireless Sensor Network Coding Algorithm Based on Clustering |
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| ZHONG Da-fu,XUE Jing-Jing,TANG Yi-Fang and ZHAO Shi-Jun. Wireless Sensor Network Coding Algorithm Based on Clustering[J]. Computer Systems& Applications, 2018, 27(11): 174-179 |
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| Authors: | ZHONG Da-fu XUE Jing-Jing TANG Yi-Fang ZHAO Shi-Jun |
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| Affiliation: | Computer Engineering Technical College(Software College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China;Key Laboratory of higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things, Zigong 643099, China,School of Physics and Electronic Information, Yan''an University, Yan''an 716000, China,Computer Engineering Technical College(Software College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China and College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, China |
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| Abstract: | By the extension of network life cycle and the balance of network energy consumption, in order to improve the energy utilization rate of wireless sensor networks, we proposes a routing algorithm for network encoding of cluster head nodes in the dynamic clustering algorithm in wireless sensor network. In the stage of establishing a cluster, the residual energy of nodes and the received signal strength are used to complete clustering, solving the problem of premature failure of some nodes due to excessive energy consumption. In the stage of the data acquisition, the method of random linear network encoding based on cluster head effectively reduces the number of packets transmitted to the gateway node, and the cost of network energy. Simulation results show that compared with the standard protocol AODV, the proposed algorithm can effectively balance the node energy consumption, improve the energy efficiency, and improve the network throughput and end-to-end delay. |
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| Keywords: | wireless sensor network dynamicly clustering network coding network lifetime |
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