...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microprocessors and microsystems >Molecular communication via diffusion with spherical receiver & transmitter and trapezoidal container
【24h】

Molecular communication via diffusion with spherical receiver & transmitter and trapezoidal container

机译：通过扩散与球面接收器和发射器和梯形容器的分子通信

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Molecular communication is a new paradigm that works on the principle of the discharge of molecules as carriers of information. The channel of molecular communication is determined by the signal that is received. The designs of the receiver, the modulation, coding, and capacity rely on the models of the received signal. Therefore, it is difficult to model the number of the received modules (until the time t) using an analytical approach. Indeed, communication through molecular diffusion is ubiquitous. In particular, the present, closed form of the impulse response of the diffusion channel usually perceives the transmitter as a source point. This research attempts to develop molecular communication via diffusion through a spherical transmitter and receiver and trapezoidal container. The study has been conducted in two parts. These parts include dataset generation using a probability distribution, and the modelling of the received signal - using a multitude of machine learning (ML) techniques. In this study the code is executed using Python language. In addition, the study utilizes deep neural networks, support vector regression, logistic regression, and ridge regression to model the received signal for a spherical transmitter before comparing the performance of all the models. The results of the study have been compared in terms of the models' accuracy to determine the best performing approach. The proposed techniques offer promising results for modelling the received molecules number until time. The proposed technique models the received signal efficiently for longer distances. (C) 2020 Elsevier B.V. All rights reserved.
机译：分子通信是一种新的范式，适用于分子作为信息载体的分子排放原则。分子通信通道由接收的信号确定。接收器的设计，调制，编码和容量依赖于接收信号的模型。因此，难以使用分析方法模拟接收模块的数量（直到时间t）。实际上，通过分子扩散的通信普遍存在。特别地，漫射信道的脉冲响应的本发明的封闭形式通常将发射器视为源点。该研究试图通过球面发射器和接收器和梯形容器扩散来开发分子通信。该研究已分两部分进行。这些部件包括使用概率分布的数据集生成，以及接收信号的建模 - 使用众多机器学习（ML）技术。在本研究中，使用Python语言执行代码。此外，该研究利用了深神经网络，支持向量回归，逻辑回归和脊回归来模拟用于球形发射机的接收信号，在比较所有模型的性能之前。在模型的准确性方面比较了该研究的结果，以确定最佳性能的方法。所提出的技术提供了有希望的结果，用于将所接收的分子数进行建模直到时间。所提出的技术有效地模拟接收信号，以便更长的距离。 （c）2020 Elsevier B.v.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号