Astute Video Transmission for Geographically Dispersed Devices in Visual IoT Systems
文献类型：期刊论文
| 作者 | Ji, Wen1,2; Duan, Lingyu2,3; Huang, Xi4; Chai, Yueting5 |
| 刊名 | IEEE TRANSACTIONS ON MOBILE COMPUTING
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 21期号:2页码:448-464 |
| 关键词 | Task analysis Streaming media Performance evaluation Delays Visualization DH-HEMTs Fractals Video transmission device hypergraph submodular function dispersed devices optimization |
| ISSN号 | 1536-1233 |
| DOI | 10.1109/TMC.2020.3009745 |
| 英文摘要 | Visual IoT (VIoT) is a promising IoT paradigm that visualizes sensing data from massive numbers of dispersed devices. A key objective in VIoT is to efficiently manage the devices to perform complex task-related visual data processing. Prior multimedia IoT systems have mainly focused on the delivery of captured video to remote servers, without considering the video tasks' characteristics and the devices' heterogeneous capabilities. In this work, we propose an astute video transmission framework for such a VIoT system composed of heterogeneous visual devices. First, we formulate the problem of joint video task allocation and heterogeneous device management by constructing a device hypergraph (DH) structure, which enables devices with different capabilities to perform complex video tasks cooperatively. Second, we model the video transmission within a VIoT system by applying fractal theory considering the NP-hardness of the optimization. In particular, we construct a comprehensive fractal submodular optimization framework through a DH and explore the inner submodular property to effectively leverage both video-task complexity and device heterogeneity. Third, we consider the geographically dispersed characteristic of massive numbers of VIoT devices and propose a multi-hop dispersed transmission mechanism for achieving globally cooperative optimality. The proposed architecture has been evaluated under diverse parameter settings. Numerical results are provided to validate the proposed algorithm in terms of delay, computational efficiency, and bandwidth utilization. Simulation results confirm the effectiveness and superiority of the proposed method. |
| 资助项目 | National Key R&D Program of China[2017YFB1400100] ; Beijing Natural Science Foundation[4202072] |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000740000200005 |
| 出版者 | IEEE COMPUTER SOC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/18260]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Ji, Wen |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 2.Peng Cheng Lab, Shenzhen 518055, Peoples R China 3.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 5.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ji, Wen,Duan, Lingyu,Huang, Xi,et al. Astute Video Transmission for Geographically Dispersed Devices in Visual IoT Systems[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2022,21(2):448-464. |
| APA | Ji, Wen,Duan, Lingyu,Huang, Xi,&Chai, Yueting.(2022).Astute Video Transmission for Geographically Dispersed Devices in Visual IoT Systems.IEEE TRANSACTIONS ON MOBILE COMPUTING,21(2),448-464. |
| MLA | Ji, Wen,et al."Astute Video Transmission for Geographically Dispersed Devices in Visual IoT Systems".IEEE TRANSACTIONS ON MOBILE COMPUTING 21.2(2022):448-464. |
入库方式： OAI收割
来源：计算技术研究所
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