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NeTS: EAGER: Exploring 60G HZ based Wireless Body Area Networks for mHealth Applications

NeTS: EAGER: Exploring 60G HZ based Wireless Body Area Networks for mHealth Applications
NetS:EAGER:探索用于移动医疗应用的基于 60G HZ 的无线体域网
批准号:
1744272
负责人:
Hua Fang
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2020-08-31

项目摘要

项目成果

Hua Fang的其他基金

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中文摘要
翻译
该项目旨在探索用于移动的健康(mHealth)应用的60 GHz通信,并为设计和评估60 GHz无线体域网(WBAN)性能奠定坚实的理论基础。深入了解当前2. 4GHz频段WBAN在mHealth应用中的基本限制以及60 GHz体域通信在更小的设备尺寸、更高的数据速率、可靠性、能效、安全性和保密性方面的潜在优势。这项研究的成果大大推进了设计和评估60 GHz WBAN的理论和算法的发现和开发,加速了更广泛和更快的mHealth应用,从而解决了全球不断上升的医疗成本。 拟议的研究与一个强有力的教育组成部分紧密相连。计划中的外联活动有助于激励和吸引少数民族学生,满足政府和行业伙伴日益增长的需求。本课题的研究成果对研究生和本科生的培养和教育具有积极的意义,为60 GHz宽带网的信道建模、能量效率和安全保护等方面的研究奠定了理论基础。这项研究是具有挑战性的,由于独特的无线电传播模式的60 G Hz的身体区域通信,能源和安全问题的资源受限的设备在WBAN。与传统的2.4G频段通信不同,使用60 GHz频段进行WBAN在其紧凑的网络覆盖、设备小型化、有效的频率重用、减少与相邻无线身体中心网络的干扰以及高数据速率方面具有显著优势。该项目包括(1)开发一种新的60 GHz WBAN通信信道模型;(2)通过资源分配提高60 GHz WBAN的能量效率;(3)建立基于信道互易性的安全机制;(4)对60 GHz WBAN通信进行性能评估。该研究采用新的统计建模方法来表征身体区域上的60 GHz通信信道,提高其功率效率和安全保护。该研究项目对mHealth应用特别有价值,推进了WBAN文献,并可能为60 GHz WBAN设计和部署提供新的指导方针。
英文摘要
This project aims to explore 60 gigahertz (GHz) communication for mobile health (mHealth) applications and build a strong theoretical foundation for designing and evaluating 60GHz Wireless Body Area Network (WBAN) performance. Deep understanding will be gained on the fundamental limits of current 2.4GHz-band WBAN in mHealth applications and the promising benefits of 60GHz body area communication, in terms of its smaller device size, higher data rates, reliability, energy efficiency, safety and security. The outcomes of this research significantly advance the discovery and development of theories and algorithms for designing and evaluating 60GHz WBANs, accelerating wider and faster mHealth applications and consequently addressing escalating healthcare costs worldwide. The proposed research is tightly coupled to a strong educational component. The planned outreach activities help motivate and attract minority students, and meet increasing demands from a diverse group of government and industry partners. The proposed project has a favorable impact on both graduate and undergraduate training and education.The research project establishes the theoretical foundation to support the channel modeling, energy efficiency, and security protection for 60GHz WBANs. This research is challenging due to the unique radio propagation pattern of 60G Hz body area communication, energy and security issues for resource-constrained devices in WBANs. Unlike the traditional 2.4G band communication, using the 60GHz band for WBAN has significant advantages in its compact network coverage, device miniaturization, efficient frequency reuse, reduced interference with adjacent wireless body-centric networks, and high data rates. The project includes (1) developing a new channel modeling for 60GHz WBAN communication; (2) improving energy efficiency in 60GHz WBAN through resource allocations; (3) establishing its security mechanism based on channel reciprocity; (4) conducting performance evaluation for 60GHz WBAN communication. The proposed studies employ new statistical modeling approaches to characterize the 60GHz communication channel over body area, improve its power efficiency and security protection. This research project is especially valuable to mHealth applications, advances the WBAN literature, and may provide new guidelines for the 60GHz WBAN design and deployment.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/icii.2018.00026
发表时间: 2018-10
期刊: 2018 IEEE International Conference on Industrial Internet (ICII)
影响因子: --
作者: [Zhouzhou Li;Hua Fang;Honggang Wang;Shaoen Wu;M. Daneshmand]
通讯作者: Zhouzhou Li;Hua Fang;Honggang Wang;Shaoen Wu;M. Daneshmand
DOI: 10.1109/mic.2019.2962797
发表时间: 2020-03-01
期刊: IEEE INTERNET COMPUTING
影响因子: 3.2
作者: [Bruendl, Stefan A., Fang, Hua]
通讯作者: Fang, Hua
DOI: 10.1109/iccnc.2019.8685559
发表时间: 2019
期刊: Networking and Communications (ICNC
影响因子: --
作者: [Li, Zhouzhou, Fang, Hua, Wang, Honggang]
通讯作者: Wang, Honggang
A New Emulation Platform for Real-time Machine Learning in Substance Use Data Streams
用于物质使用数据流实时机器学习的新仿真平台
DOI: 10.1109/iri49571.2020.00054
发表时间: 2020
期刊: 21st IEEE International Conference on Information Reuse and Integration
影响因子: --
作者: [Bruendl, Stefan A, Fang, Hua, Ngo, Hieu, Boyer, Edward W., Wang, Honggang]
通讯作者: Wang, Honggang
Travel: Student Travel Award for IEEE/ACM Conference on Connected Health (CHASE 2024)
Travel: Student Travel Award for IEEE/ACM Conference on Connected Health (CHASE 2023)
Travel: SCH: Student Travel Award for IEEE/ACM Conference on Connected Health (CHASE 2022)
SCH: Student Travel Award for IEEE/ACM Conference on Connected Health (CHASE 2021)
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