发表状态 | 已发表Published |
题名 | Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems |
作者 | |
发表日期 | 2020-09-01 |
发表期刊 | Peer-to-Peer Networking and Applications
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ISSN/eISSN | 1936-6442 |
卷号 | 13期号:5页码:1720-1743 |
摘要 | Billions of sensing devices have been connected to the Internet of Things (IoT), generating a large volume of data that can be turned into valuable insights for many applications. Location information is critical for many IoT applications. However, most sensor devices are randomly deployed and locations are unknown. Thus, it is a challenging issue to discover the physical topology of the IoT system consisted of thousands of low-cost sensor devices. In this paper, a Vehicles joint UAVs Topology Discovery (VUTD) scheme is proposed that can discover the physical topology with low-cost and accuracy. There are two main steps in VUTD scheme: (1) Vehicles are used as mobile anchors to assist adjacent sensor devices in positioning. They are also used to collect logical topology information of the IoT system. The collected logical topology information and location information can be combined into physical topology information that will be sent to the cloud platform through vehicles. (2) The cloud platform analyzes the received information to determine the area where the physical topology discovery is not completed. Then, the cloud platform dispatches the UAV as a flight anchor to locate these points. Experiments based on realworld taxi trajectory are conducted to verify the effectiveness of VUTD scheme. The experimental results show that the VUTD scheme has better performance. Compared with the VTD scheme, the localization ratio is increased by up to 13.6%, and the mean localization error is reduced by up to 90.78%. Compared with UTD, the cost of location discovery is reduced by up to 77.7%. |
关键词 | Cost Internet of things Multi-objective optimization Topology discovery Unmanned aerial vehicles |
DOI | 10.1007/s12083-020-00879-5 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Telecommunications |
WOS记录号 | WOS:000515977000002 |
Scopus入藏号 | 2-s2.0-85079186614 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/7117 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Liu, Anfeng |
作者单位 | 1.School of Computer Science and Engineering, Central South University, Changsha, 410083, China 2.Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan 3.Department of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China 4.School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China |
推荐引用方式 GB/T 7714 | Teng, Haojun,Ota, Kaoru,Liu, Anfenget al. Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems[J]. Peer-to-Peer Networking and Applications, 2020, 13(5): 1720-1743. |
APA | Teng, Haojun, Ota, Kaoru, Liu, Anfeng, Wang, Tian, & Zhang, Shaobo. (2020). Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems. Peer-to-Peer Networking and Applications, 13(5), 1720-1743. |
MLA | Teng, Haojun,et al."Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems". Peer-to-Peer Networking and Applications 13.5(2020): 1720-1743. |
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