• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Resilient Sensor Networks with Spatiotemporal Interpolation of Missing Sensors: An Example of Space Weather Forecasting by Multiple Satellites
【2h】

Resilient Sensor Networks with Spatiotemporal Interpolation of Missing Sensors: An Example of Space Weather Forecasting by Multiple Satellites

机译：具有丢失传感器的时空插值的弹性传感器网络：以多颗卫星进行空间天气预报的示例

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper attempts to construct a resilient sensor network model with an example of space weather forecasting. The proposed model is based on a dynamic relational network. Space weather forecasting is vital for a satellite operation because an operational team needs to make a decision for providing its satellite service. The proposed model is resilient to failures of sensors or missing data due to the satellite operation. In the proposed model, the missing data of a sensor is interpolated by other sensors associated. This paper demonstrates two examples of space weather forecasting that involves the missing observations in some test cases. In these examples, the sensor network for space weather forecasting continues a diagnosis by replacing faulted sensors with virtual ones. The demonstrations showed that the proposed model is resilient against sensor failures due to suspension of hardware failures or technical reasons.
机译：本文尝试以空间天气预报为例构建一个弹性传感器网络模型。所提出的模型基于动态关系网络。太空天气预报对于卫星运行至关重要，因为运营团队需要做出提供卫星服务的决定。所提出的模型可以抵抗由于卫星运行而引起的传感器故障或数据丢失。在提出的模型中，传感器的缺失数据由其他关联的传感器进行插值。本文演示了两个空间气象预报示例，其中涉及某些测试案例中缺少的观测结果。在这些示例中，用于空间天气预报的传感器网络通过将故障传感器替换为虚拟传感器来继续进行诊断。演示表明，提出的模型对于因硬件故障或技术原因而中止的传感器故障具有弹性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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