肺部太赫兹纳米传感器网络的拓扑结构优化设计

doi:10.12263/DZXB.20200577

电子学报 ›› 2021, Vol. 49 ›› Issue (6): 1050-1058.DOI: 10.12263/DZXB.20200577

肺部太赫兹纳米传感器网络的拓扑结构优化设计

徐娟, 黄鸿敏, 阚佳丽, 张妍, 林林

同济大学电子与信息工程学院, 上海 201804

收稿日期:2020-06-16 修回日期:2020-10-28 出版日期:2021-06-25
- 作者简介:
- 徐娟女,1973年出生,获同济大学博士学位,现为同济大学副教授,硕士生导师,目前主要研究方向为无线纳米传感器网络,太赫兹通信等.E-mail:jxujuan@tongji.edu.cn;黄鸿敏 男,1997年出生,现就读于同济大学电子与信息工程学院.研究方向为太赫兹纳米传感网等.E-mail:2033075@tongji.edu.cn;阚佳丽 女,1995年出生,毕业于同济大学电子与信息工程学院.研究方向为纳米传感网,体内太赫兹通信协议;张妍女,1996年出生,现就读于同济大学电子与信息工程学院.研究方向为太赫兹无线纳米传感网等;林林男,1982年出生,现为同济大学副教授,博士生导师,欧盟居里学者,目前主要研究方向为纳米通信等.
- 基金资助:
- 国家自然科学基金 (No.61971314，No.61202384）; 上海市科委"一带一路"国际合作项目 (No.19510744900）; 智慧城市物联泛在接入网关及平台应用示范 (No.2019YFB2101600）; 广西自然科学基金 (No.2017GXNSFAA198263）

Topological Structure Optimization Design of Lung Terahertz Nanosensor Network

XU Juan, HUANG Hong-min, KAN Jia-li, ZHANG Yan, LIN Lin

School of Electronic and Information Engineering, Tongji University, Shanghai 201804, China

Received:2020-06-16 Revised:2020-10-28 Online:2021-06-25 Published:2022-06-25
- Supported by:
- National Natural Science Foundation of China (No.61971314, No.61202384); Belt and Road International Cooperation Project of Science and Technology Commission of Shanghai Municipality (No.19510744900); Application Demonstration of Smart City Internet of Things on Gateway and Platform Accessing (No.2019YFB2101600); Natural Science Foundation of Guangxi Zhuang Autonomous Region, China (No.2017GXNSFAA198263)

摘要/Abstract

摘要： 纳米生物传感器以及太赫兹技术的发展能够满足肺部医学数据高速可靠地传输到远程医疗机构的要求，因此体内太赫兹纳米传感器网络在远程肺部健康监测方面有着巨大的应用前景.考虑到纳米节点能量有限且肺部数据传输对时延要求高的问题，提出了一种低时延低能耗（Low Delay Low Energy consumption，LDLE）的拓扑模型.该模型以最小化网络总时延和能耗为目标，将拓扑设计问题转化为混合整数非线性规划模型的求解问题并求解出最优目标.研究表明，网状拓扑结构具有较低网络时延、较高吞吐量以及较长的网络生存期，能满足肺部太赫兹纳米传感器网络的低能耗和低时延的要求.

关键词: 体内无线纳米传感器网络, 低时延, 低能耗, 拓扑结构

Abstract: The development of nano-biosensors and terahertz technology can meet the requirements of high-speed and reliable transmission of lung medical data to telemedicine institutions. Therefore, intra-body terahertz nanosensor network has great application prospects in remote lung health monitoring. Considering the limited energy of the nanonodes and the strict latency requirements for data transmission, a low-delay low-energy consumption (LDLE) topology model is proposed. The model aims at minimizing the total network delay and energy consumption, and transforms the topology design problem into a mixed integer nonlinear programming model solution problem and solves the optimal goal. The result shows that the mesh network topology has low network delay,high throughput and long network lifetime, which can meet the requirements of low energy consumption and low delay of lung terahertz nanosensor network.

Key words: intra-body wireless nanosensor network, low-delay, low-energy, topological structure

中图分类号:

TP212

徐娟, 黄鸿敏, 阚佳丽, 等. 肺部太赫兹纳米传感器网络的拓扑结构优化设计[J]. 电子学报, 2021, 49(6): 1050-1058.

XU Juan, HUANG Hong-min, KAN Jia-li, et al. Topological Structure Optimization Design of Lung Terahertz Nanosensor Network[J]. Acta Electronica Sinica, 2021, 49(6): 1050-1058.

参考文献

[1] JENA S R,GEORGE T,PONRAJ N.Texture analysis based feature extraction and classification of lung cancer[A].2019 IEEE International Conference on Electrical,Computer and Communication Technologies (ICECCT)[C].Coimbatore,India:IEEE,2019.1-5.
[2] DWEIK R A,AMANN A.Exhaled breath analysis:The new frontier in medical testing[J].Journal of Breath Research,2008,2(3):3-19.
[3] DRAGONIERI S.An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD[J].Lung Cancer,2009,64(2):166-170.
[4] SORKIN V,ZHANG Y W.Graphene-based pressure nano-sensors[J].Journal of Molecular Modeling,2011,17(11):2825-2830.
[5] PENGG,HAKIM M,BROZA Y,et al.Detection of lung,breast,colorectal,and prostate cancers from exhaled breath using a single array of nanosensors[J].British Journal of Cancer,2010,103(5):542-551.
[6] AKYILDIZ I F,BRUNETTI F,BLAZQUEZ C.Nanonetworks:A new communication paradigm[J].Computer Networks,2008,52(12):2260-2279.
[7] SHUBAIR R M,ELAYAN H.In vivo wireless body communications:State-of-the-art and future directions[A].2015 Loughborough Antennas & Propagation Conference (LAPC)[C].Loughborough,England:IEEE,2015.1-5.
[8] ABBASI Q H,SALLABI H E,CHOPRA N,et al.Terahertz channel characterization inside the human skin for nano-scale body-centric networks[J].IEEE Transactions on Terahertz Science and Technology,2016,6(3):427-434.
[9] EBRAHIMI N.Assessing the reliability of a nanosensor network for monitoring human lung cells[J].IEEE Sensors Journal,2016,16(20):7441-7444.
[10] ZAREPOUR E,HASSAN M,CHOU C T,et al.Characterizing terahertz channels for monitoring human lungs with wireless nanosensor networks[J].Nano Communication Networks,2016,9(1):43-57.
[11] ABBASI M,FISAL N.Noncooperative game-based energy welfare topology control for wireless sensor networks[J].IEEE Sensors Journal,2015,15(4):2344-2355.
[12] LIU L,LIU Y,ZHANG N.A complex network approach to topology control problem in underwater acoustic sensor networks[J].IEEE Transactions on Parallel and Distributed Systems,2014,25(12):3046-3055.
[13] 李睿,赵保华.WSN中基于混合整数非线性规划的功率分配算法[J].传感技术学报,2017,30(07):1119-1124. LI Rui,ZHAO Bao-hua.Mixed integer non-linear programming problem-based power allocation algorithm in WSNs[J].Chinese Journal of Sensors and Actuators,2017,30(07):1119-1124.(in Chinese)
[14] AGMON I N,ABUD M,LIRAN O,et al.Exhaled breath analysis for monitoring response to treatment in advanced lung cancer[J].Journal of Thoracic Oncology,2016:11(6):827-837.
[15] JORNET J M,AKYILDIZ I F.Channel modeling and capacity analysis for electromagnetic wireless nanonetworks in the terahertz band[J].IEEE Transactions on Wireless Communications,2011,10(10):3211-3221.
[16] XU J,JIANG J,WANG Z,et al.Energy harvesting multi-path routing for wireless multimedia nanosensor networks in terahertz band[A].201814th International Wireless Communications & Mobile Computing Conference (IWCMC)[C].Limassol,Cyprus:IEEE,2018.1011-1017.
[17] FLOUDAS C A.Nonlinear and Mixed-Integer Optimization:Fundamentals and Applications[M].Oxford,England:Oxford University Press,1995.109-112.
[18] NARENDRA P M,Fukunaga K.A branch and bound algorithm for feature subset selection[J].IEEE Trans Computers,1977,26(9):917-922.
[19] 呼慧敏,晁储芝,赵朝义,等.中国成年人人体尺寸数据相关性研究[J].人类工效学,2014,20(3):49-53.
[20] YANG K,PELLEGRINI A,MUNOZ M O,et al.Numerical analysis and characterization of THz propagation channel for body-centric nano-communications[J].IEEE Transactions of Terahertz Science and technology,2015,5(3):419-426.

肺部太赫兹纳米传感器网络的拓扑结构优化设计

Topological Structure Optimization Design of Lung Terahertz Nanosensor Network

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