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Finding the Overlapped Covered Sub-regions C~2, C~3 and the Maximum Covered Regions in WSN by Using Net Arcs (NA)Method

机译:通过使用净弧(NA)方法在WSN中找到重叠的覆盖的子区域C〜2,C〜3和最大覆盖区域

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One of the fundamental issues in WSN is the design of energy efficient approaches that achieve full area coverage and maintain the connectivity of the whole network. Coverage reflects how well a sensor field is monitored. In order to monitor the area of interest in the most efficient way, finding the connected covered sub-regions allows the use of Sleep scheduling techniques that put cooperatively the nodes monitoring these areas into sleep-mode without increasing the response time of the network. In our work, we use the idea of graph theory and we propose a new method called Net Arcs (NA) that transform the graph model from theory state to the real time. We use some techniques to find the all overlapped covered sub-regions (2-Edges) and (3-Edges) and we ensure the connectivity of the network by finding the maximum covered regions. Finding these sub-regions increases WSN lifetime and provides improved coverage performance.
机译:WSN中的一个基本问题是设计能源有效的方法,实现完整面积覆盖并保持整个网络的连接。覆盖范围反映了监测传感器字段的程度。为了以最有效的方式监视感兴趣的区域,找到连接的覆盖的子区域允许使用睡眠调度技术,该技术将监视这些区域的节点放入睡眠模式,而不增加网络的响应时间。在我们的工作中,我们使用图表理论的想法,我们提出了一种称为净弧(NA)的新方法,该方法将图形模型从理论状态转换为实时。我们使用一些技术来查找所有重叠的覆盖的子区域(2边缘)和(3边),我们通过查找最大覆盖区域来确保网络的连接。找到这些子区域增加了WSN寿命并提供了改进的覆盖性能。

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