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An Improved Artificial Bee Colony Algorithm in LoRa Wireless Communication System for Efficient Multimedia Transmission

机译:LoRa无线通信系统中一种有效的多媒体传输改进人工蜂群算法

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摘要

Video streaming communication networks will be a very important way to send multimedia information anytime and anywhere, and the construction of the network base station which transmits signals is crucial in future. However, there is a contradiction between the power consumption of LoRa nodes and the real-timeliness of mesh network. In order to solve the contradiction, this article aims to combine the mesh network of LoRa wireless communication system with an improved artificial bee colony algorithm. Specifically, an artificial bee colony algorithm, which is based on RBF radial basis neural network trained with random gradient method, is designed. Simulation results show that the proposed algorithm solves the contradiction between power consumption and real-timeliness effectively. When using this improved network system structure to send multimedia information, it shows obvious superiority in terms of the high efficiency and real-timeliness of multimedia transmission.
机译:视频流通信网络将是随时随地发送多媒体信息的一种非常重要的方式,并且传输信号的网络基站的建设在未来至关重要。但是,LoRa节点的功耗与网状网络的实时性之间存在矛盾。为了解决该矛盾,本文旨在将LoRa无线通信系统的网状网络与改进的人工蜂群算法相结合。具体而言,设计了一种基于随机梯度法训练的RBF径向基神经网络的人工蜂群算法。仿真结果表明,该算法有效地解决了功耗与实时性之间的矛盾。当使用这种改进的网络系统结构发送多媒体信息时,它在多媒体传输的高效率和实时性方面显示出明显的优势。

著录项

  • 来源
    《International journal of digital multimedia broadcasting》 |2018年第2018期|9678694.1-9678694.9|共9页
  • 作者单位

    College of Physics, Liaoning University, Shenyang, China;

    College of Physics, Liaoning University, Shenyang, China;

    College of Physics, Liaoning University, Shenyang, China;

    College of Physics, Liaoning University, Shenyang, China;

    College of Information, Shenyang Institute of Engineering, Shenyang, China;

    College of Physics, Liaoning University, Shenyang, China;

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  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 03:55:01

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