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Point and area sweep coverage in wireless sensor networks

机译:无线传感器网络中的点和区域扫描范围

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摘要

Sweep coverage term is recently introduced for coverage in wireless sensor networks. The criteria for sweep coverage is different from the traditional coverage problem where a continuous monitoring with sensor nodes is required. But in sweep coverage, periodic monitoring is sufficient with a small number of mobile sensor nodes. Finding minimum number of mobile sensor nodes with a constant velocity to guarantee sweep coverage is NP-hard and it cannot be approximated within a factor of 2 [11]. In this paper we have proposed a 2-approximation algorithm for solving the sweep coverage for a given set of points of interest (PoI). The best known approximation factor is 3 for this problem [11]. When all PoI are static sensor nodes, we have proposed a distributed approximation algorithm with approximation ratio 2, where the sensor nodes compute the number of mobile nodes and their positions. We have introduced sweep coverage for a given area of interest (AoI) and proved that the problem is NP-complete. A 2√2-approximation algorithm is proposed in order to solve the problem for a square region. A generalized version of the area sweep coverage problem for an arbitrary bounded region is also investigated in this paper.
机译:最近引入了扫描范围术语,用于无线传感器网络中的范围。扫描覆盖的标准不同于传统的覆盖问题,在传统的覆盖问题中,需要使用传感器节点进行连续监视。但是在扫描范围内,使用少量移动传感器节点进行定期监视就足够了。找到恒定速度的最小移动传感器节点以确保扫描范围是NP困难的,并且不能在2的因子内近似[11]。在本文中,我们提出了一种2近似算法,用于解决给定兴趣点(PoI)集的扫描范围。这个问题的最著名的近似因子是3 [11]。当所有PoI均为静态传感器节点时,我们提出了一种分布式近似算法,其近似比为2,其中传感器节点计算移动节点的数量及其位置。我们介绍了给定关注区域(AoI)的扫描范围,并证明了该问题是NP完全的。为了解决正方形区域的问题,提出了一种2√2-近似算法。本文还研究了任意有界区域的面积扫描覆盖问题的广义形式。

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