• 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 >Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things
【24h】

Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things

机译：基于移动雾计算的节能和值得信赖的数据收集协议

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

The tremendous growth of interconnected things/devices in the whole world advances to the new paradigm, i.e., Internet of Things (IoT). The IoT use sensor-based embedded systems to interact with others, providing a wide range of applications and services to upper-level users. Undoubtedly, the data collected by the underlying IoTs are the basis of the upper-layer decision and the foundation for all the applications, which requires efficient energy protocols. Moreover, if the collected data are erroneous and untrustworthy, the data protection and application becomes an unrealistic goal, which further leads to unnecessary energy cost. However, the traditional methods cannot solve this problem efficiently and trustworthily. To achieve this goal, in this paper we design a novel energy-efficient and trustworthy protocol based on mobile fog computing. By establishing a trust model on fog elements to evaluate the sensor nodes, the mobile data collection path with the largest utility value is generated, which can avoid visiting unnecessary sensors and collecting untrustworthy data. Theoretical analysis and experimental results validate that our proposed architecture and method outperform traditional data collection methods in both energy and delay.
机译：整个世界中互联的东西/设备的巨大增长进入新的范式，即事物互联网（物联网）。 IOT使用基于传感器的嵌入式系统与他人交互，为上级用户提供广泛的应用程序和服务。毫无疑问，由底层IOT收集的数据是上层决策和所有应用的基础，这需要有效的能量协议。此外，如果收集的数据是错误的并且不值得不值得信赖的，则数据保护和应用成为不切实际的目标，这进一步导致不必要的能源成本。但是，传统方法无法有效地和可靠地解决这个问题。为了实现这一目标，本文基于移动雾计算设计了一种新颖的节能可靠的协议。通过在雾元素上建立信任模型来评估传感器节点，产生具有最大实用程序值的移动数据收集路径，这可以避免访问不必要的传感器并收集不值得信任的数据。理论分析和实验结果验证了我们所提出的架构和方法在能量和延迟方面优于传统的数据收集方法。

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