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Towards energy-balanced data transmission for lifetime optimization in wireless sensor networks

机译:致力于能量平衡的数据传输,以优化无线传感器网络的寿命

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Energy balance is a critical issue in wireless sensor networks. Several mixed data transmission (MDT) schemes have been proposed to achieve energy balance. However, most existing works are lack of theoretical study, especially understanding the relationship between network-wide energy balancing and lifetime optimization. In this paper, we conduct comprehensive theoretical analysis to the two-level based MDT scheme when applying to network-wide energy balancing, and eventually to maximize the network lifetime. We propose a novel network model, named energy balance area (EBA), and formally analyze its characteristics under the two-level based MDT scheme. To maximize the network lifetime, we convert the transmission probability allocation problem in the MDT scheme into an EBA partitioning (EBA-PT) problem, which is shown to be NP-hard. We then propose a heuristic approximation algorithm to determine the optimal configuration of EBAs, which is proven in this paper to be the key for maximizing the network lifetime. In this way, we obtain a near-optimal result. Our experimental studies show that network lifetime can be further improved as compared the hop-by-hop and the two-level based MDT schemes.
机译:能量平衡是无线传感器网络中的关键问题。已经提出了几种混合数据传输(MDT)方案来实现能量平衡。但是,大多数现有的工作缺乏理论研究,尤其是缺乏了解网络范围的能量平衡和寿命优化之间的关系。在本文中,我们将基于二级的MDT方案应用于网络范围的能量平衡时进行了全面的理论分析,最终使网络寿命最大化。我们提出了一种新的网络模型,称为能量平衡区(EBA),并在基于两级MDT方案的形式下正式分析了其特性。为了使网络寿命最大化,我们将MDT方案中的传输概率分配问题转换为EBA分区(EBA-PT)问题,该问题被证明是NP难的。然后,我们提出了一种启发式近似算法来确定EBA的最佳配置,这一点在本文中被证明是最大化网络寿命的关键。这样,我们获得了接近最佳的结果。我们的实验研究表明,与逐跳和基于两级的MDT方案相比,可以进一步提高网络寿命。

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