首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Dynamic IoT Device Clustering and Energy Management With Hybrid NOMA Systems
【24h】

Dynamic IoT Device Clustering and Energy Management With Hybrid NOMA Systems

机译:混合NOMA系统的动态物联网设备集群和能源管理

获取原文
获取原文并翻译 | 示例
           

摘要

Fog computing, as a promising technique, is with huge advantages in dealing with large amounts of data and information with low latency and high security. We introduce a promising multiple access technique entitled nonorthogonal multiple access to provide communication service between the fog layer and the Internet of Things (IoT) device layer in fog computing, and propose a dynamic cooperative framework containing two stages. At the first stage, dynamic IoT device clustering is solved to reduce the system complexity and the delay for the IoT devices with better channel conditions. At the second stage, power allocation based energy management is solved using Nash bargaining solution in each cluster to ensure fairness among IoT devices. Simulation results reveal that our proposed scheme can simultaneously achieve higher spectrum efficiency and ensure fairness among IoT devices compared to other schemes.
机译:作为一种有前途的技术,雾计算在以低延迟和高安全性处理大量数据和信息方面具有巨大优势。我们引入了一种有前途的多址技术,称为非正交多址技术,以在雾计算中提供雾层和物联网(IoT)设备层之间的通信服务,并提出了一个包含两个阶段的动态协作框架。在第一阶段,解决动态物联网设备集群以降低系统复杂性和具有更好信道条件的物联网设备的延迟。在第二阶段,使用每个集群中的纳什讨价还价解决方案解决基于功率分配的能源管理,以确保物联网设备之间的公平性。仿真结果表明,与其他方案相比,我们提出的方案可以同时实现更高的频谱效率,并确保物联网设备之间的公平性。

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