浏览全部资源
扫码关注微信
浙江工业大学计算机科学与技术学院,浙江 杭州 310023
[ "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。" ]
网络出版日期:2018-08,
纸质出版日期:2018-08-25
移动端阅览
姚信威, 章梦娜, 王超超, 等. 基于混合储能和能量捕获的多接入信道容量建模与分析[J]. 通信学报, 2018,39(8):150-159.
Xinwei YAO, Mengna ZHANG, Chaochao WANG, et al. Modeling and analysis of multiple access channel capacity based on hybrid energy storage and energy harvesting[J]. Journal on communications, 2018, 39(8): 150-159.
姚信威, 章梦娜, 王超超, 等. 基于混合储能和能量捕获的多接入信道容量建模与分析[J]. 通信学报, 2018,39(8):150-159. DOI: 10.11959/j.issn.1000-436x.2018139.
Xinwei YAO, Mengna ZHANG, Chaochao WANG, et al. Modeling and analysis of multiple access channel capacity based on hybrid energy storage and energy harvesting[J]. Journal on communications, 2018, 39(8): 150-159. DOI: 10.11959/j.issn.1000-436x.2018139.
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。
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.
韩江洪 , 丁煦 , 石雷 , 等 . 无线传感器网络时变充电和动态数据路由算法研究 [J ] . 通信学报 , 2012 , 33 ( 12 ): 1 - 10 .
HAN J H , DING X , SHI L , et al . Research on the time-varying charging and dynamic data routing strategy for rechargeable wireless sensor networks [J ] . Journal on Communications , 2012 , 33 ( 12 ): 1 - 10 .
PARADISO J A , STARNER T . Energy scavenging for mobile and wireless electronics [J ] . IEEE Pervasive Computing , 2005 , 4 ( 1 ): 18 - 27 .
OZEL O , TUTUNCUOGLU K , ULUKUS S , et al . Fundamental limits of energy harvesting communications [J ] . IEEE Communications Magazine , 2015 , 53 ( 4 ): 126 - 132 .
YAO X W , WANG C C , WANG W L , et al . On the achievable throughput of energy-harvesting nanonetworks in the terahertz band [J ] . IEEE Sensors Journal , 2018 , 18 ( 2 ): 902 - 912 .
OZEL O , ULUKUS S . Achieving AWGN capacity under stochastic energy harvesting [J ] . IEEE Transactions on Information Theory , 2012 , 58 ( 10 ): 6471 - 6483 .
RAJESH R , SHARMA V , VISWANATH P . Capacity of Gaussian channels with energy harvesting and processing cost [J ] . IEEE Transactions on Information Theory , 2014 , 60 ( 5 ): 2563 - 2575 .
TUTUNCUOGLU K , OZEL O , YENER A , et al . Binary energy harvesting channel with finite energy storage [C ] // IEEE International Symposium on Information Theory . 2013 : 1591 - 1595 .
MAO W , HASSIBI B . On the capacity of a communication system with energy harvesting and a limited battery [C ] // IEEE International Symposium on Information Theory . 2013 : 1789 - 1793 .
JOG V , ANANTHARAM V . An energy harvesting AWGN channel with a finite battery [C ] // IEEE International Symposium on Information Theory . 2014 : 806 - 810 .
DOSHI J , VAZE R . Long term throughput and approximate capacity of transmitter-receiver energy harvesting channel with fading [C ] // IEEE International Conference on Communication Systems . 2015 : 46 - 50 .
DONG Y , FARMIA F , OZGUR A . Near optimal energy control and approximate capacity of energy harvesting communication [J ] . IEEE Journal on Selected Areas in Communications , 2014 , 33 ( 3 ): 540 - 557 .
SHAVIV D , NGUYEN P M , OZGUR A . Capacity of the energy harvesting channel with a finite battery [C ] // IEEE International Symposium on Information Theory . 2015 : 131 - 135 .
RAJESH R , DEEKSHITH P K , SHARMA V . Capacity of a Gaussian MAC with energy harvesting transmit nodes [C ] // Information Theory and Applications Workshop . 2012 : 338 - 343 .
INAN H A , OZGUR A . Online power control for the energy harvesting multiple access channel [C ] // International Symposium on Modeling and Optimization in Mobile,Ad-Hoc and Wireless Networks . 2016 : 1 - 6 .
INAN H A , SHAVIV D , OZGUR A . Capacity of the energy harvesting Gaussian MAC [C ] // IEEE International Symposium on Information Theory . 2016 : 2744 - 2748 .
CAO J , EMADI A . A new battery/ultracapacitor hybrid energy storage system for electric,hybrid,and plug-in hybrid electric vehicles [J ] . IEEE Transactions on Power Electronics , 2011 , 27 ( 1 ): 122 - 132 .
SAGGINI S , ONGARO F , GALPERTI C , et al . Supercapacitor-based hybrid storage systems for energy harvesting in wireless sensor networks [C ] // Applied Power Electronics Conference and Exposition . 2010 : 2281 - 2287 .
JING Y , ULUKUS S . Optimal packet scheduling in an energy harvesting communication system [J ] . IEEE Transactions on Communications , 2010 , 60 ( 1 ): 220 - 230 .
OZEL O , TUTUNCUOGLU K , YANG J , et al . Transmission with energy harvesting nodes in fading wireless channels:optimal policies [J ] . IEEE Journal on Selected Areas in Communications , 2011 , 29 ( 8 ): 1732 - 1743 .
姚信威 , 郑星航 , 王万良 , 等 . 吞吐量最大化的二维无线能量传输算法 [J ] . 计算机科学 , 2015 , 42 ( 11 ): 164 - 169 .
YAO X W , ZHENG X H , WANG W L , et al . A bidimensional wireless energy transfer algorithm for maximum network throughput [J ] . Computer Science , 2015 , 42 ( 11 ): 164 - 169 .
0
浏览量
936
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构