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An efficient data collection and dissemination for IOT based WSN

机译:基于IOT的WSN有效的数据收集和传播

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Data collection issues play a significant role in the area of Wireless Sensor Networks (WSNs) and Internet of Things (IOT). Energy efficiency is affected by the number of data transmissions from the node to the Sink / base station (BS). Control of the update data is one of the feasible ways to reduce the messages sent by the nodes. In transmitting data strategies most of the WSN real-time data applications update the data directly, and some current study made a logical or absolute check to measure the change between the current and last sensor measuring value before updating the data. In this paper, we proposed a method to reduce the number of data transmissions as well as decrease the amount of data that will result in prolonging the lifetime of the network. The proposed method aims to reduce the number of transmitted messages via a node supporting single and multiple sensors based on the relative change or relative differences between the current and last sensor measured values transmitted. The results show the proposed method appears to deliver the best performance in terms of reducing the number of messages transitions and packets size, in this study the mean percentage of reducing the number of messages transmissions is 74%, and 80% is the mean percentage reduce of node packet size. From the results, it's clear that reduce the number of packet's transitions and reduce the node packet size, will result in a decrease the energy consumption as well as prolonging the lifetime of the system.
机译:数据收集问题在无线传感器网络(WSNS)和物联网(IOT)领域发挥着重要作用。能量效率受到来自节点到宿/基站(BS)的数据传输数的影响。更新数据的控制是减少节点发送的消息的可行方法之一。在传输数据策略中,大多数WSN实时数据应用程序直接更新数据,并且一些当前的研究使逻辑或绝对检查在更新数据之前测量电流和最后一个传感器测量值之间的变化。在本文中,我们提出了一种减少数据传输次数的方法以及降低将导致延长网络寿命的数据量。所提出的方法旨在通过支持单个和多个传感器的节点基于传输的电流和最后一个传感器测量值之间的相对变化或相对差异来减少传输消息的数量。结果显示该方法似乎在减少消息转换和数据包大小的次数方面提供最佳性能,在本研究中,减少消息传输数量的平均百分比为74%,80%是均值百分比减少节点数据包大小。从结果中,很明显,减少数据包的转换数量并降低节点分组大小,将导致能耗降低以及延长系统的寿命。

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