• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on industrial informatics >A Fairness-Based Collaborative Communication Ecosystem Over Sustainable D2D Fogs in a 5G Industrial IoT
【24h】

A Fairness-Based Collaborative Communication Ecosystem Over Sustainable D2D Fogs in a 5G Industrial IoT

机译：基于公平的合作通信生态系统，在5G工业物联网上的可持续D2D雾

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

In a 5G industrial IoT, using fog devices (FD) to release the burden of transmission data between a base station (BS) and a register user, is currently a promising method for device-to-device (D2D) communications. In this article, we propose a collaborative communication ecosystem to deploy RF-powered FDs as intermediaries to improve the utility as well as the fairness. We examine three contributing works that activate a relay-labor exchanging market. First, we build Stackelberg games to attract D2D collaborations; second, we employ an energy harvest technology and a time-switching power scheme to make exchange benefits to support the games; third, to reduce the relay redundancy and guarantee effective transmission rates, we employ network-coded flows. To solve the double-objects optimization model of our collaborative games, a genetic algorithm NSGA-II is applied to find an optimal solution to the market. We also mathematically prove the existence of an equilibrium state in the proposed games, and afterwards simulate the whole scenario using Mininet for a performance analysis. The simulation results in Mininet show that the BS and FDs in the market games all achieve desirable utilities as well as fairness among FDs.
机译：在5G工业IOT中，使用雾设备（FD）来释放基站（BS）和寄存器用户之间的传输数据的负担，是目前用于设备到设备（D2D）通信的有希望的方法。在本文中，我们提出了一个协作的通信生态系统，将RF供电的FDS作为中间人部署，以改善实用程序以及公平性。我们研究了三项促进继电器劳工交换市场的贡献作品。首先，我们建立Stackelberg游戏以吸引D2D合作;其次，我们采用了能量收获技术和时交换电力方案，以便对游戏进行交流效益;第三，为了减少继电器冗余并保证有效的传输速率，我们采用网络编码流。为了解决我们协同游戏的双对象优化模型，应用了NSGA-II的遗传算法，以找到对市场的最佳解决方案。我们还在数学上证明了所提出的游戏中的均衡状态，并且之后使用Minit仿真整个场景进行性能分析。 Mininet的仿真结果表明，市场游戏中的BS和FDS都达到了所需的公用事业以及FD之间的公平性。

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