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Data Aggregation Mechanism Using Dynamic Routing With Cyber Physical Systems

机译:数据聚合机制使用动态路由与网络物理系统

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摘要

In wireless sensors the data can be send through network without any data collusions. Here, we are transmitting the data in the form of encrypted packets through network to destination without any misplacement of data packets. To fulfilling that, data aggregation is used. Data aggregation has been widely recognized as an efficient method to reduce energy consumption in wireless sensor networks, which can support a wide range of applications such as monitoring temperature, humidity, level, speed etc. The data sampled by the same kind of sensors have much redundancy since the sensor nodes are usually quite dense in wireless sensor networks. To make data aggregation more efficient, the packets with the same attribute, defined as the identifier of different data sampled by different sensors such as temperature sensors, humidity sensors, etc., should be gathered together. However, to recognize that the present data aggregation mechanisms did not take packet attribute into consideration. In this paper, we take the lead in introducing packet attribute into data aggregation and propose an Data Aggregation mechanism using Dynamic Routing (DADR) which can make packets with the same attribute convergent as much as possible and therefore improve the efficiency of data aggregation.
机译:在无线传感器中,数据可以通过无任何数据丛集的网络发送数据。这里,我们通过网络将加密分组形式的数据传输到目的地,而无需任何数据分组的错位。要满足,使用数据聚合。数据聚合已被广泛识别为减少无线传感器网络中能耗的有效方法,这可以支持广泛的应用,例如监控温度,湿度,水平,速度等。通过相同类型的传感器采样的数据具有很大的数据冗余,因为传感器节点通常在无线传感器网络中非常密集。为了使数据聚合更有效地,具有相同属性的分组,定义为由不同传感器采样的不同数据的标识符,如温度传感器,湿度传感器等,一起聚集在一起。但是,要认识到,本数据聚合机制没有考虑分组属性。在本文中,我们在将数据包属性引入数据聚合时,我们采取了领先地位,并使用动态路由(DADR)提出数据聚合机制,其可以尽可能多地制作具有相同属性融合的分组,从而提高数据聚合的效率。

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