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Scheduling in energy harvesting systems with hybrid energy storage.

机译：具有混合能量存储的能量收集系统中的调度。

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摘要

In wireless networks, efficient energy storage and utilization plays a vital role, resulting in a prolonged lifetime and enhanced throughput. This factor becomes even more important in systems employing energy harvesting as compared to utility or battery powered networks, where a constant supply of energy is available. Therefore, it is crucial to design schemes that make the best use of available energy resources, keeping in view the practical constraints.;In this work, we consider data transmission with an energy harvesting transmitter which has hybrid energy storage with a perfect super-capacitor (SC) and an inefficient battery. The SC has finite storage space while the battery has unlimited storage space. The transmitter can choose to store the harvested energy in the SC or in the battery, while draining energy from the SC and the battery simultaneously. Under this energy storage setup, we solve throughput optimal energy allocation problem over a point-to-point channel in an offline setting. The hybrid energy storage model with finite and unlimited storage capacities imposes a generalized set of constraints on the transmission policy. We show that the solution is found by a sequential application of the directional water-filling algorithm.;Next, we consider offline throughput maximization in the presence of an additive time-linear processing cost in the transmitter's circuitry. In this case, the transmitter has to additionally decide on the portions of the processing cost to be drained from the SC and the battery. Despite this additional complexity, we show that the solution is obtained by a sequential application of a directional glue-pouring algorithm, parallel to the cost-less processing case. Finally, we provide numerical illustrations for optimal policies and performance comparisons with some heuristic online policies.
机译：在无线网络中，有效的能量存储和利用起着至关重要的作用，从而延长了使用寿命并提高了吞吐量。与可提供恒定能量的公用事业或电池供电网络相比，该因素在采用能量收集的系统中变得更加重要。因此，至关重要的是，设计方案要充分利用可用的能源，同时要考虑到实际的限制。;在这项工作中，我们考虑使用能量采集变送器进行数据传输，该变送器具有混合储能和完美的超级电容器（SC）和低效的电池。 SC具有有限的存储空间，而电池具有无限的存储空间。变送器可以选择将收集的能量存储在SC或电池中，同时从SC和电池中消耗能量。在这种储能设置下，我们在离线环境中通过点对点通道解决了吞吐量优化的能量分配问题。具有有限和无限存储容量的混合能量存储模型对传输策略施加了一组广义约束。我们证明了该解决方案是通过有序注水算法的顺序应用找到的；接下来，我们考虑在发射机电路中存在附加时间线性处理成本的情况下离线吞吐量最大化。在这种情况下，发送器必须另外决定要从SC和电池中消耗的部分处理成本。尽管存在这种额外的复杂性，但我们显示，该解决方案是通过与无成本处理情况并行地顺序应用定向灌胶算法而获得的。最后，我们提供了一些最优策略的数字插图，并提供了一些启发式在线策略的性能比较。

著录项

  • 作者

    Shahzad, Khurram.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2013
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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