考虑处理能量的无线网络中的能量和吞吐量权衡

Lillian L. Dai, V. Chan
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引用次数: 5

摘要

许多无线网络研究都涉及到吞吐量边界的推导和跨层优化的节能问题。从实际的角度来看,通常一个网络必须满足获得高吞吐量的竞争目标,同时为长时间运行节省能源。这两个重要的网络度量之间的权衡在文献中没有得到充分的解决。现有研究的另一个不足在于能量模型中抑制了非距离依赖的处理能量,这可能导致在具有大量跳数的路径上错误地路由。我们明确地建立了处理能量的模型,并表明对于无线网络的特定实现,平均路径功率是吞吐量的单调递增的分段线性函数。此外,我们量化了网络区域大小阈值,使得在相对于阈值的小区域内,直接传输路由既节能又实现吞吐量。对于较大的区域,路径功率最优路由可能无法实现最大吞吐量。更高的吞吐量可以通过次优路由方案实现,随着吞吐量的增加,导致更高的边际功率增加
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Energy and throughput tradeoff in wireless networks with processing energy considerations
Many wireless network studies pertain to the derivation of throughput bounds and cross-layer optimization for energy conservation. From a practical perspective, often a network must meet the competing objective of attaining high throughput while conserving energy for prolonged operation. The tradeoff between these two important network metrics has not been adequately addressed in the literature. A further deficiency in existing research lies in the suppression of non-distance-dependent processing energy in energy models, which can lead erroneously to routing on paths with large number of hops. We model processing energy explicitly, and show that for a particular implementation of wireless network, the average path power is a monotonically increasing, piecewise linear function of throughput. Furthermore, we quantify a network region size threshold such that in a small region relative to the threshold, direct transmission routing is both energy conserving and throughput achieving. For larger regions, path power optimal routing may not achieve the maximum throughput. Higher throughput may be achieved with suboptimal routing schemes that lead to higher marginal power increase as the throughput increases
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