Skip to main content
Log in

Ionospheric monitoring system based on the Internet of Things with ThingSpeak

  • Letter
  • Published:
Astrophysics and Space Science Aims and scope Submit manuscript

Abstract

The Internet of Things (IoT) is a growing technology that allows digital devices to be integrated into the network. The use of IoT technology makes it possible to collect information from various Global Navigation Satellite System (GNSS) receivers connected to the Internet, providing a unique opportunity to obtain information on spatial and temporal distribution. In this article, the ionospheric monitoring system is implemented using ThingSpeak (IoT). Ionospheric signal delay/Total Electronic Content (TEC) data from GNSS stations, Koneru Lakshmaiah Education Foundation (KLEF)—Guntur (16.44° N, 80.62° E, geographical), Port Blair (11, 43° N, 92,43° E)—geographical, Bengaluru (13,02° N, 77,57° E; geographical), Lucknow (26,76° N, 80,88° E; geographical) are used for analysis during the 2015 period. The ionospheric signal delays are computed from the ThingSpeak and the ionospheric TEC analysis are performed directly in the MATLAB software. The computed observed TEC values were compared to the IRI-16 (International Reference Ionosphere) model values. The standard deviation of the observed TEC for four GNSS stations is 17.26 TECU for Port Blair, 18.34 TECU for Bengaluru, 16.51 TECU for KLEF-Guntur and 14.07 TECU for Lucknow. The corresponding standard deviation of the IRI model is 11.38 TECU for Port Blair, 13.25 TECU for Bengaluru, 17.67 TECU for KLEF-Guntur and 15.66 TECU for Lucknow. As a result, the cloud-based monitoring system reduces operating costs, backs up and retrieves data. It optimizes productivity and collaboration around the world via the Internet.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  • Cai, C., Gao, Y.: Modeling and assessment of combined GPS/GLONASS precise point positioning. GPS Solut. 17, 223–236 (2013)

    Article  Google Scholar 

  • Dach, R., Schaer, S., Hugentobler, U.: Combined multi-system GNSS analysis for time and frequency transfer. Proc. Eur. Freq. Time Forum 23, 530–537 (2006)

    Google Scholar 

  • Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  • Hernández-Pajares, M., Miguel Juan, J., Sanz, J., Aragón-Àngel, À., García-Rigo, A., Salazar, D., Escudero, M.: The ionosphere: effects, GPS modeling and the benefits for space geodetic techniques. J. Geod. 85(12), 887–907 (2011)

    Article  ADS  Google Scholar 

  • Langley, R., Fedrizzi, M., Paula, E., Santos, M., Komjathy, A.: Mapping the low latitude ionosphere with GPS. GPS World 13(2), 41–46 (2002)

    Google Scholar 

  • Li, X., Ge, M., Dai, X., Ren, X., Fritsche, M., Wickert, J., Schuh, H.: Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. J. Geod. 89(6), 607–635 (2015)

    Article  ADS  Google Scholar 

  • Liu, J., Priyantha, B., Hart, T., Jin, Y., Lee, W., Raghunathan, V., Ramos, H.S., Wang, Q.: CO-GPS: energy efficient GPS sensing with cloud offloading. IEEE Trans. Mob. Comput. 15(6), 1348–1361 (2015)

    Article  Google Scholar 

  • Lucas-Sabola, V., Seco-Granados, G., López-Salcedo, J.A., García-Molina, J.A., Crisci, M.: Cloud GNSS receivers: new advanced applications made possible. In: 2016 International Conference on Localization and GNSS (ICL-GNSS), pp. 1–6 (2016)

    Google Scholar 

  • Montenbruck, O., Steigenberger, P., Prange, L., Deng, Z., Zhao, Q., et al.: The multi-GNSS experiment (MGEX) of the international GNSS service (IGS)—achievements, prospects and challenges. Adv. Space Res. 59(7), 1671–1697 (2017)

    Article  ADS  Google Scholar 

  • Neeli, R., Kumar Dabbakuti, J.R.K., Chowdhary, V.R., Tripathi, N.K., Devanaboyina, V.R.: Modeling of local ionospheric time varying characteristics based on singular value decomposition over low-latitude GPS stations. Astrophys. Space Sci. 363(9), 182 (2018)

    Article  ADS  Google Scholar 

  • Seemala, G.K.: GPS-TEC analysis application. Tech. Rep., Inst. for Sci, Res., USA (2011)

  • Steigenberger, P., Hauschild, A., Montenbruck, O., Hugentobler, U.: Performance Analysis of COMPASS Orbit and Clock Determination and COMPASS-Only PPP, IGS Workshop, Olsztyn, Poland, pp. 23–27. (2012)

    Google Scholar 

  • Uhlemann, M., Ramatschi, M., Gendt, G.: GFZ’s global multi-GNSS network and first data processing results. In: IGS Workshop- Olsztyn, Poland, pp. 23–27 (2012)

    Google Scholar 

  • Wang, N., Yuan, Y., Li, Z., Huo, X.: Improvement of Klobuchar model for GNSS single-frequency ionospheric delay corrections. Adv. Space Res. 57(7), 1555–1569 (2016a)

    Article  ADS  Google Scholar 

  • Wang, N., Yuan, Y., Li, Z., Montenbruck, O., Tan, B.: Determination of differential code biases with multi-GNSS observations. J. Geod. 90(3), 209–228 (2016b)

    Article  ADS  Google Scholar 

  • Wang, N., Li, Z., Huo, X., Li, M., Yuan, Y., Yuan, C.: Refinement of global ionospheric coefficients for GNSS applications: methodology and results. Adv. Space Res. 63(1), 343–358 (2019)

    Article  ADS  Google Scholar 

Download references

Acknowledgements

This research work was supported by Department of Science and Technology (DST)-FIST, New Delhi, India, vide sanction letter No: FIST sanction Order No. SR/FST/ETI-410/2016(C).

The authors are thankful to IGS and IRI working group for providing online data access, Dr. Gopi. S for providing GPS -TEC analysis software.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. R. K. Kumar Dabbakuti.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dabbakuti, J.R.K.K., Ch, B. Ionospheric monitoring system based on the Internet of Things with ThingSpeak. Astrophys Space Sci 364, 137 (2019). https://doi.org/10.1007/s10509-019-3630-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10509-019-3630-0

Keywords

Navigation