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

Abstract

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.

DOI: 10.3390/s16040548

Extracted Key Phrases

15 Figures and Tables

Showing 1-10 of 33 references

Available online

  • 2015

Space Weather Prediction Center and National Oceanic and Atmospheric Administration. Space Weather Alerts Description and Criteria. Available online

  • 2015

The National Space Science Data Center (NSSDC) of the National Aeronautics and Space Administration/Goddard Space Flight Center. Coordinated Data Analysis Web (CDAWeb) Available online

  • 2015

The ZigBee Alliance. The ZigBee Alliance|Control your world Available online

  • 2015

Recent Texts on Spacecraft Charging of Interest to the Space Weather Community. Space Weather

  • J M Bodeau
  • 2013