Verification of k-coverage on query line segments

Kun-Han Juang, En Tzu Wang, Chieh-Feng Chiang, Arbee L. P. Chen
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引用次数: 1

Abstract

The coverage problem is one of the fundamental problems in sensor networks, which reflects the degree of a region being monitored by sensors. In this paper, we make the first attempt to address the k-coverage verification problem regarding a given query line segment, which returns all sub-segments from the line segment that are covered by at least k sensors. To deal with the problem, we propose three methods based on the R-tree index. The first method is the most primitive one, which identifies all intersection points of the query line segment and the circumferences of the covering regions of the sensors and then checks each sub-segment to see whether it is k-coverage. Improving from the first method, the second method calculates the lower bound of the number of sensors covering a specific sub-segment to reduce the computation costs. The third method partitions the query line segment into sub-segments with equal length and then verifies each of them. A series of experiments on a real dataset and two synthetic datasets are performed to evaluate these methods. The experiment results demonstrate that the third method has the best performance among all three methods.
查询线段上k-coverage的验证
覆盖问题是传感器网络的基本问题之一,它反映了一个区域被传感器监控的程度。在本文中,我们首次尝试解决关于给定查询线段的k覆盖验证问题,该查询线段返回至少k个传感器覆盖的线段中的所有子段。为了解决这个问题,我们提出了三种基于r树索引的方法。第一种方法是最原始的方法,它识别查询线段的所有交点与传感器覆盖区域的周长,然后检查每个子线段是否为k覆盖。第二种方法是在第一种方法的基础上改进的,通过计算覆盖特定子段的传感器个数的下界来降低计算成本。第三种方法将查询行段划分为长度相等的子段,然后对每个子段进行验证。在一个真实数据集和两个合成数据集上进行了一系列实验来评估这些方法。实验结果表明,第三种方法在三种方法中性能最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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