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Coverage and Energy Consumption Control in Mobile Heterogeneous Wireless Sensor Networks

机译:移动异构无线传感器网络中的覆盖范围和能耗控制

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In this paper The early version of this paper appeared in the Proceedings of IEEE ICDCS'11.,we investigate the coverage and energy consumption control in mobile heterogeneous wireless sensor networks (WSNs). By term heterogeneous, we mean that sensors in the network have various sensing radius, which is an inherent property of many applied WSNs. Two sensor deployment schemes are considered-uniform and Poisson schemes. We study the asymptotic coverage under uniform deployment scheme with i.i.d. and 1-D random walk mobility model, respectively. We propose the equivalent sensing radius (ESR) for both cases and derive the critical ESR correspondingly. Our results show that the network performance largely depends on ESR. By controlling ESR, we can always promise the network achieve full coverage, regardless of the total number of sensors or the sensing radius of a single senor under random mobility patterns, which is a much easier and more general way to operate coverage control. Meanwhile, we can operate a tradeoff control between coverage performance and energy consumption by adjusting ESR. We demonstrate that 1-D random walk mobility can decrease the sensing energy consumption under certain delay tolerance, though requires larger ESR. Also, we characterize the role of heterogeneity in coverage and energy performance of WSNs under these two mobility models, and present the discrepancy of the impact of heterogeneity under different models. Under the Poisson deployment scheme, we investigate dynamic $k$-coverage of WSNs with 2-D random walk mobility model. We present the relation between network coverage and the sensing range, which indicates how coverage varies according to sensing capability. Both $k- -coverage at an instant and over a time interval are explored and we derive the expectation of fraction of the whole operational region that is $k$-covered, which also identifies the coverage improvement brought by mobility.
机译:本文的早期版本出现在IEEE ICDCS'11会议论文集中,我们研究了移动异构无线传感器网络(WSN)的覆盖范围和能耗控制。术语“异构”是指网络中的传感器具有各种感应半径,这是许多应用WSN的固有属性。两种传感器部署方案被认为是均匀方案和泊松方案。我们用i.d.研究统一部署方案下的渐近覆盖和一维随机游动模型。我们提出两种情况的等效感应半径(ESR),并相应地得出临界ESR。我们的结果表明,网络性能在很大程度上取决于ESR。通过控制ESR,我们可以始终保证网络实现完全覆盖,而不管传感器的数量或在随机迁移率模式下单个传感器的感应半径如何,这是一种更简单,更通用的覆盖控制方法。同时,我们可以通过调整ESR在覆盖性能和能耗之间进行权衡控制。我们证明一维随机游走运动可以在一定的延迟容限下降低感测能量消耗,尽管需要更大的ESR。此外,我们在这两种移动性模型下表征了异质性在无线传感器网络的覆盖范围和能量性能中的作用,并提出了不同模型下异质性影响的差异。在Poisson部署方案下,我们使用二维随机游走移动性模型研究WSN的动态$ k $覆盖率。我们介绍了网络覆盖范围与感应范围之间的关系,该关系表明覆盖范围如何根据感应能力而变化。探索了瞬时和一定时间间隔内的$ k-覆盖率,我们得出了覆盖$ k $的整个运营区域的期望值,这也确定了流动性带来的覆盖范围的改善。

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