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基于网络编码的无线传感网数据传输技术研究-计算机科学与技术专业论文.docx

发布:2019-03-25约6.2万字共69页下载文档
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中文摘要 基于网络编码的无线传感网数据传输技术研究 效率,减少能量消耗。另外,本文设计的智能编码数据收集传输协议可以允许网络中 同时存在两种收集模式;智能编码的思想能进一步减少能耗,使节点能量消耗更加均 衡。 关键字:无线传感器网络,网络编码,数据重传,数据收集,节约能耗 作 者:朱 畅 指导老师:朱艳琴 II The Research on Wireless Sensor Networks Data Transmission Technology Based on Network Coding Abstract The Research on Wireless Sensor Networks Data Transmission Technology Based on Network Coding Abstract Wireless sensor networks consist of large amount of sensor nodes which organize and form a network system by themselves. It is characterized by large-scale deployment, resource-constrained, and self-organization. In recent years, it has caught more and more attention. And it has been widely applied to many areas, such as environment, health, home and so on. Sensor nodes generally have limited storage space and computing ability. What’s more, they have non-renewable energy. It’s energy consumption mainly has two aspects: receiving and sending packets. How to effectively manage packets transmission, save energy and improve reliability is always a hot topic in wireless sensor networks. Network coding has attracted wide attention in academic circle since it was proposed in 2000. It points out the research direction for the higher quality of data transmission in wireless sensor networks. Network coding is a new method of data transmission that breaks the traditional way of storing and forwarding. It allows intermediate nodes to encode received packets before forwarding. As long as the destination node receives enough packets, it can get original information through decoding operation. Existing researches show that using network coding in wireless sensor networks can improve the network throughput and reduce energy consumption. In this paper, we study the problem of low energy consumption and reliable data transmission based on the advantage of network coding. Firstly, we research how to effectively retransmit lost packets. During data dissemination, sensor nodes may not receive the whole packets because of unreliab
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