Energy-efficiency maximization scheme for data collection in wireless power communication networks

Haijiang GE; Zhanwei YU; Kaikai CHI

doi:10.11959/j.issn.1000-0801.2019270

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Energy-efficiency maximization scheme for data collection in wireless power communication networks

Topic:IPv6 technology and applications | 更新时间：2024-06-05

- Energy-efficiency maximization scheme for data collection in wireless power communication networks
- Telecommunications Science Vol. 35, Issue 12, Pages: 49-56(2019)
- 作者机构：
  
  1. 浙江工业大学计算机科学与技术学院，浙江杭州 310023
  2. 杭州职业技术学院信息工程学院，浙江杭州 310018
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019270
  CLC： TN929
- Published Online：2019-12，
  
  Published：20 December 2019
- 稿件说明：
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Haijiang GE, Zhanwei YU, Kaikai CHI. Energy-efficiency maximization scheme for data collection in wireless power communication networks[J]. Telecommunications science, 2019, 35(12): 49-56.
DOI：

Haijiang GE, Zhanwei YU, Kaikai CHI. Energy-efficiency maximization scheme for data collection in wireless power communication networks[J]. Telecommunications science, 2019, 35(12): 49-56. DOI： 10.11959/j.issn.1000-0801.2019270.

摘要

研究提出由多个射频能量源和汇聚节点组成的无线供能网络，通过联合最优化能量源的发送功率、能量发送时长和节点的数据发送时间，最大化数据收集的能量效率。首先对能量效率最大化问题进行建模。接着，分析得到发送功率的最优取值，并进一步推导出能量效率函数的单调性和吞吐量函数的凹凸性。最后，基于这些属性设计出联合使用黄金分割法和二分法的高效最优算法的快速得到最优解。仿真结果表明，相比于基准方法，所提出的最优算法能显著提高能量效率。

Abstract

WPCN composed of multiple RF energy sources and sinks was studied.The energy efficiency of data collection were maximized by jointly optimizing the transmission power of energy sources

the time allocation of wireless energy transfer and the time allocation of nodes’ data transmission.Specifically

the energy efficiency maximization problem was modeled firstly.Then

the optimal value of transmitted power was obtained

and the monotonicity of energy-efficiency function and the convexity of throughput function were further deduced.Finally

based on these properties

an efficient algorithm which combines golden-section search and bisection search was designed to get the optimal solution quickly.The simulation results show that the proposed optimal algorithm can significantly improve the energy efficiency compared with the baseline scheme.

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references

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