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

• 学术论文 • 上一篇    下一篇

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   

  1. 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   

  1. 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: 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

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