射频供能无线传感器网络高能效数据收集方案

doi:10.3969/j.issn.0372-2112.2018.09.027

电子学报 ›› 2018, Vol. 46 ›› Issue (9): 2238-2244.DOI: 10.3969/j.issn.0372-2112.2018.09.027

射频供能无线传感器网络高能效数据收集方案

邱树伟¹, 石海燕², 池凯凯¹, 程珍¹, 朱艺华¹

1. 浙江工业大学计算机科学与技术学院, 浙江杭州 310023;
2. 绍兴文理学院机械与电气工程学院, 浙江绍兴 312000

收稿日期:2017-08-28 修回日期:2017-09-25 出版日期:2018-09-25
- 通讯作者:
- 朱艺华
- 作者简介:
- 邱树伟 男,1979年生于广东潮州,博士生,研究方向为无源感知网络.E-mail:city-qsw@163.com;石海燕 女,1977年出生于诸暨,讲师,博士.研究方向为无线网络协议、算法、性能分析与优化等.E-mail:csshy@usx.edu.cn;池凯凯 男,1980年生于浙江永康,博士,教授,研究方向为物联网、5G网络等.E-mail:kkchi@zjut.edu.cn;程珍女,1981年出生于湖北蕲春,博士,副教授,研究方向为纳米网络.E-mail:chengzhen@zjut.edu.cn
- 基金资助:
- 国家自然科学基金重点项目 (No.61432015）; 国家自然科学基金面上项目 (No.61772470，No.61472367）; 浙江省自然科学基金项目 (No.LY15F020029）

Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network

QIU Shu-wei¹, SHI Hai-yan², CHI Kai-kai¹, CHENG Zhen¹, ZHU Yi-hua¹

1.School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China;
2.School of Mechanical and Electrical Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China

Received:2017-08-28 Revised:2017-09-25 Online:2018-09-25 Published:2018-09-25
- Corresponding author:
- ZHU Yi-hua
- Supported by:
- Key Program of National Natural Science Foundation of China (No.61432015); National Natural Science Foundation of China (No.61772470, No.61472367); National Natural Science Foundation of Zhejiang Province, China (No.LY15F020029)

摘要/Abstract

摘要： 在射频供能无线传感器网络中，提高网络能效和吞吐率是一个重要的研究问题.该文统筹考虑信道分配、节点的能量阈值以及MAC（Medium Access Control）帧分块重传机制，提出高能效和高吞吐率的数据收集方案；推导了节点的充电时间、节点传输一个MAC帧的平均能耗和平均时延、网络能效和吞吐率，定义了网络效用函数，形成了最大化网络效用的优化问题.通过调整效用系数并求解优化问题，可以获得使网络能效和吞吐率最大化的最优能量阈值和MAC帧最优分块个数.仿真结果表明，所提方案的能效和吞吐率高于已有方案.

关键词: 射频供能通信网络, 无线传感器网络, 数据收集, 吞吐率, 能效

Abstract: In radio frequency powered wireless sensor network (RFP-WSN), improving network energy efficiency and throughput is an important topic. A data collection scheme with high energy-efficiency and high throughput is proposed in this paper, which integrates channel allocation, energy threshold and MAC (Medium Access Control) frame block-level retransmission mechanism. In addition, the charging time of nodes, the average energy consumption and the average delay for transmitting a MAC frame, and the energy efficiency and throughput of the network are derived. The network utility function is defined, and the optimization problem (OP) of maximizing network utility is formed. By adjusting the utility coefficient and solving the OP, the optimal energy threshold and the optimal number of blocks per MAC frame can be obtained to maximize the energy efficiency and throughput. The simulation results show that the energy efficiency and throughput of the proposed scheme are higher than that of the existing schemes.

Key words: radio-frequency powered communications network, wireless sensor network, data collection, throughput, energy efficiency

中图分类号:

TP393

邱树伟, 石海燕, 池凯凯, 等. 射频供能无线传感器网络高能效数据收集方案[J]. 电子学报, 2018, 46(9): 2238-2244.

QIU Shu-wei, SHI Hai-yan, CHI Kai-kai, et al. Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network[J]. Acta Electronica Sinica, 2018, 46(9): 2238-2244.

参考文献

[1] 徐骥,朱艺华,田贤忠,等.无线传感器网络中利用随机网络编码的低能耗可靠机会路由[J].电子学报,2016,44(8):1799-1805. XU Ji,ZHU Yi-hua,TIAN Xian-zhong,et al.Energy-efficient reliable opportunistic routing applying random network coding for wireless sensor network[J].Acta Electronica Sinica,2016,44(8):1799-1805.(in Chinese)
[2] Young-Joon Kim,Hansraj S Bhamra,Jithin Joseph,et al.An ultra-low-power RF energy-harvesting transceiver for multiple-node sensor application[J].IEEE Transactions on Circuits and Systems Ⅱ:Express Briefs,2015,62(11):1028-1032.
[3] Aaron N Parks,Joshua R Smith.Sifting through the airwaves:efficient and scalable multiband RF harvesting[A].Proceedings of the 2014 IEEE International Conference on RFID(IEEE RFID)[C].Orlando:IEEE,2014.74-81.
[4] Suzhi Bi,Rui Zhang.Placement optimization of energy and information access points in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2016,15(3):2351-2364.
[5] Yi-hua Zhu,Hui Xu,Kai-kai Chi,et al.Accumulating error-free frame blocks to improve throughput for IEEE 802.11-based WLAN[J].Journal of Network and Computer Applications,2012,35(2):743-752.
[6] Park Y T,Sthapit P,Lee D H,et al.Data fragmentation scheme with block ACK in wireless sensor networks[A].Proceedings of the 2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering[C].Loutraki:IEEE,2011.79-83.
[7] P Huang,C Wang,L Xiao.RC-MAC:A receiver-centric MAC protocol for event-driven wireless sensor networks[J].IEEE Trans Computers,2015,64(4):1149-1161.
[8] M A Landolsi,W E Stark.On the accuracy of Gaussian approximations in the error analysis of DS-CDMA with OQPSK modulation[J].IEEE Transactions on Communications,2002,50(12):2064-2071.
[9] W B Heinzelman,A P Chandrakasan,H Balakrishnan.An application-specific protocol architecture for wireless microsensor networks[J].IEEE Transactions on Wireless Communications,2002,1(4):660-670.
[10] Yanjun Li,Lingkun Fu,Min Chen,et al.RF-based charger placement for duty cycle guarantee in battery-free sensor networks[J].IEEE Communications Letters,2015,19(10):1802-1805.
[11] IEEE 802.15.4 Standard for Wireless Medium Access Control(MAC) and Physical Layer(PHY) Specifications for Low-Rate Wireless Personal Area Networks(WPANs)[S].2011.
[12] Luo B,Sun Z.Enabling end-to-end communication between wireless sensor networks and the internet based on 6LoWPAN[J].Chinese Journal of Electronics,2015,24(3):633-638.
[13] 陈珍萍,黄友锐,唐超礼,等.物联网感知层低能耗时间同步方法研究[J].电子学报,2014,44(1):193-199. CHEN Zhen-ping,HUANG You-rui,TANG Chao-li,et al.Research on low energy consumption time synchronization method for internet of things' perception layer[J].Acta Electronica Sinica,2014,44(1):193-199.(in Chinese)

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射频供能无线传感器网络高能效数据收集方案

Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network

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