通信学报 ›› 2018, Vol. 39 ›› Issue (8): 150-159.doi: 10.11959/j.issn.1000-436x.2018139

• 论文Ⅱ:学术论文 • 上一篇    下一篇

基于混合储能和能量捕获的多接入信道容量建模与分析

姚信威(),章梦娜,王超超,王万良   

  1. 浙江工业大学计算机科学与技术学院,浙江 杭州 310023
  • 修回日期:2018-07-23 出版日期:2018-08-01 发布日期:2018-09-13
  • 作者简介:姚信威(1986-),男,浙江诸暨人,博士,浙江工业大学副教授、博士生导师,主要研究方向为多尺度智能感知与通信/无线能量传输、物联网、智能大数据等。|章梦娜(1993-),女,浙江绍兴人,浙江工业大学硕士生,主要研究方向为无线能量传输、移动机器人技术等。|王超超(1992-),男,浙江嘉兴人,浙江工业大学博士生,主要研究方向为微观尺度智能感知与通信、物联网和移动机器人技术等。|王万良(1957-),男,江苏高邮人,博士,浙江工业大学教授、博士生导师,主要研究方向为人工智能、物联网、大数据、网络控制等。
  • 基金资助:
    国家自然科学基金资助项目(61772471);国家自然科学基金资助项目(61771430)

Modeling and analysis of multiple access channel capacity based on hybrid energy storage and energy harvesting

Xinwei YAO(),Mengna ZHANG,Chaochao WANG,Wanliang WANG   

  1. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Revised:2018-07-23 Online:2018-08-01 Published:2018-09-13
  • Supported by:
    The National Natural Science Foundation of China(61772471);The National Natural Science Foundation of China(61771430)

摘要:

能量捕获具有部署灵活和可持续供能的优点,已成为解决物联网中设备能量受限的有效途径之一。针对基于能量捕获的多接入信道,能量捕获技术存在能量来源不稳定、存储设备容量有限等因素,因此采用基于超级电容和电池的混合储能结构。根据其信道的特点和能量捕获的随机特性,引入节点能量约束关系,提出了一种呈指数型下降(ETD)的近似最优能量分配策略对平均吞吐量进行分析,推导其上下界及其常数差值。最后利用平均吞吐量和信道容量的关系求得近似信道容量。实验分析了捕获能量、储能容量以及节点数目对多接入信道容量的影响,同时实验结果表明,相比传统节点采用电池作为单一储能单元,采用混合储能结构可以有效地提高节点的捕获能量数值,使其在信号的发送上采用多进制的传输方式,进而增大多接入信道的容量。

关键词: 物联网, 能量捕获, 混合储能, 信道容量, 能量分配

Abstract:

Energy harvesting (EH) has been considered as a promising technology to solve the constrained energy problem in the devices of IoT with its advantages of flexible deployment and sustainable energy supply.For multiple access channel with energy harvesting,a hybrid energy storage structure model composed by super capacitor and battery was proposed for the devices of IoT.According to the peculiarities of medium access channel and energy harvesting system,an optimized energy allocation strategy with exponential-type decline (ETD) was presented,the upper and lower bounds of the average throughput were deduced,in particular,the gap of two bounds was derived to be a constant.The channel capacity was further obtained by utilizing the relationship between the average throughput and the channel capacity.In the simulations,the effect of harvested energy,storage capacity and the number of nodes on the channel capacity were analyzed respectively.Experiment results show that compared with the conventional wireless node with single battery storage,the proposed hybrid energy storage structure can improve the harvested energy value and increase the multiple access channel capacity by using adaptive modulation scheme when transmitting the signals.

Key words: IoT, energy harvesting, hybrid energy storage, channel capacity, energy allocation

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