| 无线传感器网络延时测量数据的信息熵与不确定性 |
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| 引用本文： | 王婕. 无线传感器网络延时测量数据的信息熵与不确定性[J]. 电子测试, 2011, 0(5): 44-47 |
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| 作者姓名： | 王婕 |
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| 作者单位： | 中北大学电子与计算机科学技术学院,太原,030051 |
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| 摘 要： | 无线传感器网络的时间同步是无线传感器网络的一个重要的研究方向.本文利用时钟偏移量误差的规律性,提出基于指数时延的无线传感器网络时钟同步算法.在DMTS算法的基础上引入指数时延得到了发送者的同步模型.针对无线传感器网络延迟测量数据处理中掺杂的主观因素不能准确反映客观现实的问题,采用最大熵方法,根据测量数据求取被测量的概率...
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| 关 键 词： | 无线传感器网络 延时测量时间同步协议算法 最大熵方法 |
Wireless sensor network delay measurements and uncertainty of information entropy |
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| Wang Jie. Wireless sensor network delay measurements and uncertainty of information entropy[J]. Electronic Test, 2011, 0(5): 44-47 |
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| Authors: | Wang Jie |
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| Affiliation: | Wang Jie (Dept.of Electronics and Computer Science and Technology,North University of China,Tai Yuan030051,China) |
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| Abstract: | Time synchronization of wireless sensor network is a significant research orientation in wireless sensor network.In this paper,utilizing the clock offset errors,we present a clock synchronization algorithm of Wireless Sensor Networks with exponential delay.The algorithm based on the DMTS delay the introduction of index has been sent by the synchronization model.For the data processing which mix with subjective factors can’t reflect the objective problems,adopting the Maximum Entropy Method to get the measured probability distribution based on measurement data,then evaluating this probability distribution under constrain condition combine with uncertainty. |
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| Keywords: | Wireless Senser Network Delay Measurement Times Synchronization(DMTS) algorithm Maximum Entropy Method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
