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Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach

机译:基于WSN中任务性能评估的正则表达式匹配:队列理论方法

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摘要

Due to the limited resources of wireless sensor network, low efficiency of real-time communication scheduling, poor safety defects, and so forth, a queuing performance evaluation approach based on regular expression match is proposed, which is a method that consists of matching preprocessing phase, validation phase, and queuing model of performance evaluation phase. Firstly, the subset of related sequence is generated in preprocessing phase, guiding the validation phase distributed matching. Secondly, in the validation phase, the subset of features clustering, the compressed matching table is more convenient for distributed parallel matching. Finally, based on the queuing model, the sensor networks of task scheduling dynamic performance are evaluated. Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. The method for medium scale or large scale distributed wireless node has a good applicability.
机译:由于无线传感器网络资源有限,提出了基于正则表达式匹配的较低的实时通信调度,安全缺陷等效率,这是一种由匹配预处理阶段组成的方法,验证阶段和绩效评估阶段排队模型。首先,在预处理阶段生成相关序列的子集,引导验证阶段分布式匹配。其次,在验证阶段,特征群集的子集,压缩匹配表对于分布式并行匹配更方便。最后,基于排队模型,评估任务调度动态性能的传感器网络。实验表明,我们的方法确保了70%以上的准确匹配和计算效率;它不仅有效地检测数据包和访问控制,还可以使用排队方法来确定无线传感器网络中的任务调度参数。中尺度或大规模分布式无线节点的方法具有良好的适用性。

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