科研成果详情

题名UAV Placement Optimization for Internet of Medical Things
作者
发表日期2020
会议名称16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020
会议录名称2020 International Wireless Communications and Mobile Computing, IWCMC 2020
ISBN978-1-7281-3130-6
ISSN2376-6506
页码752-757
会议日期15-19 June 2020
会议地点Limassol, Cyprus
出版者Institute of Electrical and Electronics Engineers Inc.
摘要

Internet of Medical Things (IoMT), intended for real-time health monitoring, are generating quantity of health data such as electrocardiogram, oxygen saturation, and blood pressure every second. The captured data should be processed and analyzed in a delay sensitive way which is vital to the survival rate for cardiovascular and cerebrovascular diseases. In this regard, Unmanned Aerial Vehicles (UAVs) have already demonstrated the enormous potentials. To begin with, due to better line-of-sight, wider communication and more flexible on-demand deployment, UAVs can realize seamless wireless connection to IoMT. Furthermore, UAVs can act as fog nodes to provision services for IoMTs such as task performing and data analysis. We in this paper focus on a sub-problem, i.e., the placement of UAVs over the serving area when they function as fog nodes. In the airborne fog computing, the placement of UAVs has an important influence on energy consumption and exploration area, let alone the communication coverage of the personal health devices on the ground. Therefore, we in this paper propose a particle swarm optimization (PSO) based algorithm to optimize the UAV placement over the serving area for the IoMT devices. We have conducted extensive simulations to evaluate it. The results show that our approach can significantly reduce the number of UAVs needed to deploy while considering the communication coverage and other factors. © 2020 IEEE.

关键词airborne fog computing health IoMT placement UAV
DOI10.1109/IWCMC48107.2020.9148581
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语种英语English
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4469
专题个人在本单位外知识产出
作者单位
1.School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China
2.SUSTech Institute of Future Networks, Southern University of Science and Technology, Shenzhen, China
3.PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China
4.Nanjing Telecommunication Technology Research Institute, Nanjing, China
5.Federal University of Piaui, Teresina - Pi, Brazil
6.Instituto de Telecomunicações, Portugal
7.Department of Computer Science and Engineering, Qatar University, Qatar
8.Faculty of Science and Technology, University of Macau, Taipa, Macau, China
推荐引用方式
GB/T 7714
Tang, Chaogang,Zhu, Chunsheng,Wei, Xianglinet al. UAV Placement Optimization for Internet of Medical Things[C]: Institute of Electrical and Electronics Engineers Inc., 2020: 752-757.
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