| 无线充电传感器网络能量效率优化研究 |
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| 引用本文： | 刘韬.无线充电传感器网络能量效率优化研究[J].计算机应用研究,2018,35(5). |
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| 作者姓名： | 刘韬 |
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| 作者单位： | 西南民族大学 计算机科学与技术学院 |
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| 基金项目： | 四川省科技支撑项目(14ZC1767),西南民族大学中央高校基本科研业务费专项基金项目 (2017NZYQN43) |
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| 摘 要： | 本文将SWIPT技术应用到无线充电传感器网络中，提出了一种基于SWIPT的协作传输协议（简称CTS），利用无线信息和能量的协作传输来提高无线能量传输的效率。在此基础上，设计了一个以最大化网络效用为目的的资源分配策略优化问题，并提出RAPOA算法来求解问题。仿真实验表明CTS最大化了网络效用，提高了无线充电传感器网络的能量传输效率。
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| 关 键 词： | 无线充电传感器网络 无线信息和能量传输 网络效用 |
| 收稿时间： | 2017/2/8 0:00:00 |
| 修稿时间： | 2018/3/15 0:00:00 |
Research on energy efficiency optimization in wireless powered sensor networks |
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| LIU Tao.Research on energy efficiency optimization in wireless powered sensor networks[J].Application Research of Computers,2018,35(5). |
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| Authors: | LIU Tao |
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| Affiliation: | School of Information Science and Technology,Southwest Jiaotong University,Chengdu Sichuan |
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| Abstract: | In this paper, the simultaneous wireless information and power transfer (SWIPT) is applied to a wireless powered sensor network. Based on SWIPT, we propose a Cooperative Transfer scheme (abbreviated CTS) to improve the wireless power transfer efficiency. To maximize the network utility, we formulate a resource assignment problem for CTS. Then, a Resource Assignment Policy Optimization Algorithm (abbreviated RAPOA) is presented to solve this problem. Simulation results show that CTS can maximize network utility and improve the power transfer efficiency for the wireless powered sensor network. |
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| Keywords: | wireless powered sensor network wireless information and power transfer network utility |
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