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大型物理模型无线网络设计及其数据错误率研究

         

摘要

We studied relationship between data error rate and network node number or patrol measurement time in traditional wireless network by a series of experiments. The results show that the data error rate increases with node number, and decreases with prolongation of patrol measurement time. In order to guarantee an accuracy rate over 95%, the normal wireless network nodes should be less than 10 and the patrol measurement time should be more than 500 ms, which indicates that the traditional wireless network could not satisfy the needs of large scale physical model with hundreds of measurement nodes. An improved wireless network is proposed, that the original single level structure is transformed to the master-slave structure to realize the leveled transmission. The slave network collects the corresponding node's data and conveys to the master network, so the interac-tion frequency of master network is reduced and the error rate is decreased. By using the new structure, the accuracy of data transmission of 100 nodes can reach 95% or above only by 10 slave networks.%通过实验测试研究了常规无线网络中数据错误率与网络节点数量、节点巡测时间之间关系。结果表明,数据错误率随节点数量增大相应增加,随巡测时间增大相应减小;为保证95%以上的数据准确率,常规无线网络节点数量应小于10、节点巡测时间大于500 ms。上述成果表明,常规无线网络无法满足大型物理模型数百个测点数据传输需求。为此,提出了一种改进型无线网络,即将常规无线网络单级结构改为主从结构,实行数据分级传输,从网络负责收集对应节点数据,再汇总至主网络,从而降低主网络交互频率及其数据错误率。应用该新型结构后,理论分析100个节点数据传输仅需10个从网络即可保证数据准确率达到95%以上。

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