5G/IoT-enabled UAVs for multimedia delivery in industry-oriented applications
5G/IoT-enabled UAVs for multimedia delivery in industry-oriented applications
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DOI：
10.1007/s11042-018-6288-7
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发表时间：
2020-04-01
影响因子：
3.6
通讯作者：
Alturjman, Sinem
中科院分区：
文献类型：
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作者：
Al-Turjman, Fadi;Alturjman, Sinem
工业物联网 (IIoT) 是快速发展的互联事物网络，它使用遍布各处的嵌入式传感器收集和交换数据。它是通过多样化的通信系统将多个事物互连起来，能够监视、收集、交换、分析和提供有价值且具有挑战性的大量信息。鉴于无人机 (UAV) 的自主操作能力、高移动性以及通信和处理能力，预计将参与众多 IIoT 相关应用，其中多媒体和视频流将发挥关键作用。我们的主要兴趣是工业物联网及其设施在运行期间和/或之后的多媒体路由。为了恢复、构建和选择k-不相交路径，能够忍受参数失败但满足服务质量，我们引入了面向行业的规范粒子群（CPS）优化数据交付框架。在与无人机通信时，采用多群策略来确定最佳方向，同时执行多路径路由。对该方法的真实性进行了测试，结果表明，与普通的规范粒子多路径群（CPMS）优化和完全多路径粒子群（FMPS）优化相比，该方法效果更好。
Industrial Internet of Things (IIoTs) is the fast growing network of interconnected things that collect and exchange data using embedded sensors planted everywhere. It is an interconnection of several things through a diverse communication system capable of monitoring, collecting, exchanging, analysing, and delivering valuable and challenging amount of information. Given their ability to be operated autonomously, their high mobility, and their communication and processing power, Unmanned Aerial Vehicles (UAVs) are expected to be involved in numerous IIoT-related applications, where multimedia and video streaming plays a key role. Our main interest is the multimedia routing in IIoT and its facilities during and/or after operational hours. For recovering, constructing and selecting k-disjoint paths, capable of putting up with failure of the parameters but satisfying the quality of service, we introduce an industry-oriented Canonical Particle Swarm (CPS) optimization data delivery framework. During communication with the UAV, multi-swarm strategy is used to determine the optimal direction while performing a multipath routing. Authenticity of the proposed approach has been tested and results show that, compared to the ordinary Canonical Particle Multi-path Swarm (CPMS) optimization and Fully Multi-path Particle Swarm (FMPS) optimization, the proposed method is better.