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首页> 外文期刊>IEEE transactions on wireless communications >Curve-Based Deployment for Barrier Coverage in Wireless Sensor Networks
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Curve-Based Deployment for Barrier Coverage in Wireless Sensor Networks

机译:无线传感器网络中基于曲线的屏障覆盖部署

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摘要

This paper studies deterministic sensor deployment for barrier coverage in wireless sensor networks. Most of existing works focused on line-based deployment, ignoring a wide spectrum of potential curve-based solutions. We, for the first time, extensively study the sensor deployment under a general setting. We first present a condition under which the line-based deployment is suboptimal, revealing the advantage of curve-based deployment. By constructing a contracting mapping, we identify the characteristics for a deployment curve to be optimal. Based on the optimal deployment curve, we design sensor deployment algorithms by introducing a new notion of distance-continuous. Our findings show that i) when the deployment curve is distance-continuous, the proposed algorithm is optimal in terms of the vulnerability corresponding to the deployment, and ii) when the deployment curve is not distance-continuous, the approximation ratio of the vulnerability corresponding to the deployment by the proposed algorithm to the optimal one is upper bounded by min(π, frac{||widetilde{AB}||}{||widetilde{AGB}||}frac{2n+sqrt{2}-1}{2n} ), where ||widetilde{AB}|| and ||widetilde{AGB}|| are some constants, and n is the number of sensors. We generalize the study to the heterogeneous sensing model, and show that the proposed algorithm can provide close-to-optimal performance. Extensive numerical results corroborate our analysis.
机译:本文研究了用于无线传感器网络中的障碍物覆盖的确定性传感器部署。现有的大多数工作都集中在基于线路的部署上,而忽略了各种潜在的基于曲线的解决方案。我们第一次在常规环境下广泛研究传感器的部署。我们首先提出一种条件,在这种情况下,基于线的部署是次优的,从而揭示了基于曲线的部署的优势。通过构造收缩映射,我们可以确定最佳部署曲线的特征。基于最佳部署曲线,我们通过引入距离连续的新概念来设计传感器部署算法。我们的发现表明:i)当部署曲线是距离连续的时,在与部署相对应的脆弱性方面,所提出的算法是最优的;并且ii)当部署曲线不是距离连续的时,对应于脆弱性的近似率拟议算法对最优方案进行部署的上限是min(π,frac {|| widetilde {AB} ||} {|| widetilde {AGB} ||} frac {2n + sqrt {2} -1 } {2n}),其中|| widetilde {AB} ||和|| widetilde {AGB} ||是一些常数,n是传感器的数量。我们将研究推广到异构传感模型,并表明该算法可以提供接近最佳的性能。大量的数值结果证实了我们的分析。

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