Skip to main content

Storing Live Sensor Data to the Platforms of Internet of Things (IoT) Using Arduino and Associated Microchips

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1090))

Abstract

Internet of Things (IoT) is one of the prominent domains of research in the segment of wireless technologies whereby the smart objects are connected with each other using wireless signals. Despite the enormous areas of research in this stream, the storage and evaluation of live sensor data are widely required so that further analytics on the sensor data can be done. In this research manuscript, the usage of Arduino is presented that is one of the key open-source hardware platforms for programming with Internet of Things (IoT). In open-source hardware platforms of Arduino and NodeMCU, the direct connectivity with the real clouds can be done and is presented in this manuscript. There exist number of open platforms of IoT for logging of data; this manuscript presents the use of ThingSpeak and Carriots so that analytics patterns of sensor data can be implemented effectively. This paper presents the assorted aspects of open-source hardware of Arduino that can be used for different sensor-based applications.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Pearce, J.M. 2012. Building Research Equipment with Free, Open-Source Hardware. Science 337 (6100): 1303–1304.

    Article  Google Scholar 

  2. Sa, I., and P. Corke. 2002. System Identification, Estimation and Control for a Cost Effective Open-Source Quadcopter. In 2012 IEEE International Conference on Robotics and Automation (ICRA), May 14, 2202–2209.

    Google Scholar 

  3. Marchesini, J., S.W. Smith, O. Wild, J. Stabiner, and A. Barsamian. 2004. Open-Source Applications of TCPA Hardware. In 20th Annual Computer Security Applications Conference, Dec 6, 294–303, IEEE.

    Google Scholar 

  4. Fisher, D.K., and P.J. Gould. 2012. Open-Source Hardware is a Low-Cost Alternative for Scientific Instrumentation and Research. Modern Instrumentation 1 (02): 8.

    Article  Google Scholar 

  5. Bahrudin, M.S., R.A. Kassim, and N. Buniyamin. 2013. Development of Fire Alarm System Using Raspberry Pi and Arduino Uno. In 2013 International Conference on Electrical, Electronics and System Engineering (ICEECE), Dec 4, 43–48, IEEE.

    Google Scholar 

  6. Piyare, R. 2013. Internet of Things: Ubiquitous Home Control and Monitoring System Using Android Based Smart Phone. International Journal of Internet of Things 2 (1): 5–11.

    Google Scholar 

  7. Kodali, R.K., and S. Soratkal. (2016). MQTT Based Home Automation System Using ESP8266. In 2016 IEEE Region Humanitarian Technology Conference (R10-HTC), Dec 21, 1–5, IEEE.

    Google Scholar 

  8. Ramakrishna Murty, M., J.V.R. Murthy, P.V.G.D. Prasad Reddy, and Suresh C. Sapathy. 2012. A Survey of Cross-Domain Text Categorization Techniques. In International Conference on Recent Advances in Information Technology RAIT-2012, ISM-Dhanabad, 978-1-4577-0697-4/12 IEEE Xplorer Proceedings.

    Google Scholar 

  9. Shkurti, L., X. Bajrami, E. Canhasi, B. Limani, S. Krrabaj, and A. Hulaj. 2017. Development of Ambient Environmental Monitoring System Through Wireless Sensor Network (WSN) Using NodeMCU and “WSN monitoring”. In 2017 6th Mediterranean Conference on InEmbedded Computing (MECO), Jun 11 1–5, IEEE.

    Google Scholar 

  10. Kodali, R.K., and S. Mandal. 2016. IoT Based Weather station. In 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) Dec 16, 680–683.

    Google Scholar 

  11. Pasha, S. 2016. ThingSpeak Based Sensing and Monitoring System for IoT with Matlab Analysis. International Journal of New Technology and Research (IJNTR) 2 (6): 19–23.

    Google Scholar 

  12. Maureira, M.A., D. Oldenhof, and L. Teernstra. 2011. ThingSpeak—an API and Web Service for the Internet of Things. Retrieved7/11/15World WideWeb, http://www.Mediatechnology.leiden.edu/images/uploads/docs/wt2014_thingspeak.pdf.

  13. Botta, A., W. De Donato, V. Persico, and A. Pescapé. 2016. Integration of Cloud Computing and Internet of Things: A Survey. Future Generation Computer Systems 1 (56): 684–700.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Pradeep .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pradeep, S., Sharma, Y.K. (2020). Storing Live Sensor Data to the Platforms of Internet of Things (IoT) Using Arduino and Associated Microchips. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_1

Download citation

Publish with us

Policies and ethics