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
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ISBN | 978-1-7281-3130-6 |
ISSN | 2376-6506 |
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 |
DOI | 10.1109/IWCMC48107.2020.9148581 |
URL | 查看来源 |
语种 | 英语English |
引用统计 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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