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Investigations on graph-based boundary detection for hole estimation in wireless sensor networks

机译:基于图的无线传感器网络孔估计的基于图的边界检测研究

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Recently Wireless sensor networks (WSNs) plays important role in monitoring physical environments. In mission critical applications like surveillance existence of coverage holes makes communication among sensor nodes impossible. Coverage hole may be defined as the failure of sensor nodes. There are various graph based hole detection approaches and algorithms proposed to detect the coverage hole and to heal the coverage hole. Energy efficiency and communication overhead are the important parameters in detecting the holes and successful delivery of data packets without delay. Most of the existing algorithms have disadvantages depending upon their computational model. This survey compares the various approaches and identifies their shortcomings based on computational model and communication overhead. A new model is also proposed for coverage hole detection.
机译:最近无线传感器网络(WSN)在监控物理环境中起着重要作用。在关键任务中的关键应用中,如监视存在的覆盖孔,在传感器节点之间的通信是不可能的。覆盖孔可以定义为传感器节点的故障。有各种基于曲线的孔检测方法和算法,提出检测覆盖孔并愈合覆盖孔。能量效率和通信开销是检测孔的重要参数,并在没有延迟的情况下成功交付数据包。根据其计算模型,大多数现有算法具有缺点。该调查比较了各种方法,并根据计算模型和通信开销识别其缺点。还提出了一种用于覆盖孔检测的新模型。

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