课题基金 / 基金详情

CAREER: Interconnected Mobile Computing in Wireless Networks

CAREER: Interconnected Mobile Computing in Wireless Networks
职业:无线网络中的互连移动计算
批准号:
1812407
负责人:
Wei Gao
金额:
$46.98万
依托单位:
依托单位国家:
美国
项目类别:
Continuing 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 2023-06-30

项目摘要

项目成果

Wei Gao的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Mobile computing has been an indispensable part of modern life. However, diverse manufacturing limits make current mobile devices far from ideal for being used anytime, anywhere. Traditional solutions design individual mobile devices for different application scenarios by exploring tradeoffs among the various design perspectives, but cannot scale to the increasing complexity and performance requirements of future mobile applications. Instead, the vision of this project is Interconnected Mobile Computing (IMC), which fully interconnects multiple mobile devices owned by the same user via wireless networks and allows these devices to complement each other via cooperative resource sharing. IMC aims to fundamentally remove the physical boundary between mobile devices and hence augment the mobile computing capability provided to the user. The success of this research could fully unleash the potential of heterogeneous mobile devices and allow insertion of highly pervasive and cognitive mobile applications into every aspect of human life. The results from this research are likely to foster new research directions on mobile computing and benefit a broader scope of cyber-physical systems such as industry control, remote sensing and connected healthcare. The project will actively apply the research results into development of undergraduate curriculum, engage under-represented students into research, and exploit the research outcomes for K-12 educational and outreach programs. This project intends to develop key enabling technologies in wireless networks and mobile systems that ensure the efficiency, adaptability and generality of IMC. More specifically, this project consists of three closely intertwined research thrusts: (i) reducing the wireless transmission latency of resource sharing between mobile devices by designing an extra wireless communication channel that dedicates to IMC; ii) ensuring adaptability of resource sharing to various network and system dynamics by designing distributed network algorithms for resource sharing decisions; and iii) systematically supporting generic resource access between remote mobile systems via development of new mobile OS interfaces. The proposed technical designs will be implemented and evaluated over a medium-scale mobile testbed of software-defined radios and off-the-shelf mobile devices, and will also be validated by large-scale trace-based emulation.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones
通过商品智能手机上的声学传感和多任务学习进行临床外肺部疾病评估
DOI: 10.1145/3560905.3568437
发表时间: 2022
期刊: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
影响因子: --
作者: [Yin, Xiangyu, Huang, Kai, Forno, Erick, Chen, Wei, Huang, Heng, Gao, Wei]
通讯作者: Gao, Wei
PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones
PTEase:使用商用智能手机进行肺部远程医疗的客观气道检查
DOI: 10.1145/3581791.3596854
发表时间: 2023
期刊: Applications and Services
影响因子: --
作者: [Yin, Xiangyu, Huang, Kai, Forno, Erick, Chen, Wei, Huang, Heng, Gao, Wei]
通讯作者: Gao, Wei
SCH: Bringing Intelligence to Pulmonology: New AI-Enabled Systems for Pulmonary Function Tests Anytime and Anywhere
  • 批准号:
    2205360
  • 项目类别:
    Standard Grant
  • 资助金额:
    $110.0万
  • 财政年份:
    2022
  • 负责人:
    Wei Gao
  • 依托单位:
CAREER: Rationale Design of Autonomous Biomimetic Wearable Sensor for Personalized Molecular Monitoring of Long COVID
  • 批准号:
    2145802
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $47.51万
  • 财政年份:
    2022
  • 负责人:
    Wei Gao
  • 依托单位:
Stress Modulated Phase Transition in 2D TMDC Materials
CAREER: Atomistic Investigation of Phase Transition in Nanostructured Silicon--Towards Convergent Understanding with Mechanics-Informed Machine Learning Potential
海外基金