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Path Construction for Data Mule in Target Based Mobile Wireless Sensor Networks

机译:基于目标移动无线传感器网络中数据骡子的路径施工

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Evolution in computer networks, Wireless Sensor Network (WSN) has played a significant role in sensing, processing and transmission of data from remote location across the network. There are many target points or point of interests (POIs) in a network that need to be monitored periodically or all the time. These POIs are covered by many static sensor nodes and collectively these sensor nodes form clusters. Each of the cluster contains a cluster head (CH) or relay node which collects the data sensed by the static sensors. One of the cluster has higher priority among the other clusters. So, a path is to be constructed for a data mule to collect data from these relay nodes. This path need to be optimized such that the higher priority relay node will be traversed times equal to its weight in one complete cycle. In this paper, Weighted Target Traversing with Stable Visiting Interval (WTT-SVI) algorithm has been proposed that gives the optimized path for a weighted target.
机译:计算机网络中的进化,无线传感器网络(WSN)在来自网络的远程位置的远程位置的传感,处理和传输中发挥了重要作用。在需要定期或所有时间的网络中有许多目标点或兴趣点(POI)。这些POI由许多静态传感器节点覆盖,并集体形成这些传感器节点形成簇。每个群集包含群集头(CH)或中继节点,该节点收集由静态传感器感测的数据。其中一个集群在其他集群中具有更高的优先级。因此,要为数据骡子构建一个路径,以从这些中继节点收集数据。需要优化该路径,使得较高优先级中继节点将在一个完整周期中遍历等于其权重的时间。本文已经提出了具有稳定访问间隔(WTT-SVI)算法的加权目标,其给出了加权目标的优化路径。

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