Skip to main content
SpringerLink
Log in

Multi-source Energy Harvesting System for Sensor Nodes

  • Conference paper
  • First Online:
Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 956))

  • 1237 Accesses

Abstract

To prolong the lifetime of sensor nodes, energy harvesting systems are installed with sensor nodes for harvesting energy from environmental sources like sunlight, wind speed and so on and recharge their batteries. Widely utilized energy harvesting systems depend on sunlight and wind speed, which are predictable. However, the energy produced by the solar light is not continuous during the daytime and null at night. Energy produced by wind speed is not sufficient for powering the sensor nodes all the time. To resolve this problem, we have proposed a multi-source energy harvesting system which harvests energy from both solar light and wind speed. We also discuss how energy is produced by our proposed multi-source energy harvesting system. Our proposed multi-source energy harvesting system comprises of the real-world sensor node platform, solar panel and wind turbine. Results from simulation analysis clearly manifests that our proposed multi-source energy harvesting system extracts more energy as compared to energy produced by a single solar panel or a wind turbine.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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

Institutional subscriptions

References

  1. Rayes, A., Salam, S.: The things in IoT: sensors and actuators. In: Rayes, A., Salam, S. (eds.) Internet of Things From Hype to Reality, pp. 57–77. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44860-2_3

    Google Scholar 

  2. Raghunathan, V., Kansal, A., Hsu, J., Friedman, J., Srivastava, M.: Design considerations for solar energy harvesting wireless embedded systems. In: Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005, pp. 457–462. IEEE, April 2005. https://doi.org/10.1109/ipsn.2005.1440973

  3. Panatik, K.Z., et al.: Energy harvesting in wireless sensor networks: a survey. In: 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT), pp. 53–58, November 2016. IEEE. https://doi.org/10.1109/istt.2016.7918084

  4. El-Sayed, A.R., Tai, K., Biglarbegian, M., Mahmud, S.: A survey on recent energy harvesting mechanisms. In: 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1–5. IEEE, May 2016. https://doi.org/10.1109/ccece.2016.7726698

  5. Weddell, A.S., Magno, M., Merrett, G.V., Brunelli, D., Al-Hashimi, B.M., Benini, L.: A survey of multi-source energy harvesting systems. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 905–908. EDA Consortium, March 2013

    Google Scholar 

  6. Park, C., Chou, P.H.: Ambimax: autonomous energy harvesting platform for multi-supply wireless sensor nodes. In: 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, SECON 2006, vol. 1, pp. 168–177. IEEE, September 2006. https://doi.org/10.1109/sahcn.2006.288421

  7. Jung, H.J., et al.: Design and optimization of piezoelectric impact-based micro wind energy harvester for wireless sensor network. Sens. Actuators A: Phys. 222, 314–321 (2015). https://doi.org/10.1016/j.sna.2014.12.010

    Article  Google Scholar 

  8. https://www.libelium.com/v11-files/documentation/waspmote/waspmote-power-programming_guide.pdf

  9. https://eosweb.larc.nasa.gov/sse/RETScreen

  10. https://www.engineeringtoolbox.com/air-density-specific-weight-d_600.html

  11. Escolar, S., Chessa, S., Carretero, J.: Quality of service optimization in photovoltaic cells-based energy harvesting wireless sensor networks. Energ. Effi. 10(2), 331–357 (2017). https://doi.org/10.1007/s12053-016-9458-3

    Article  Google Scholar 

  12. Guo, Z., Chang, C., Wang, R.: A novel method to downscale daily wind statistics to hourly wind data for wind erosion modelling. In: Bian, F., Xie, Y. (eds.) GRMSE 2015. CCIS, vol. 569, pp. 611–619. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49155-3_64

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Engineering Department, National Institute of Technology, Kurukshetra, Kurukshetra, India

    Neha Garg & Ritu Garg

Authors
  1. Neha Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ritu Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Neha Garg .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary’s University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Garg, N., Garg, R. (2019). Multi-source Energy Harvesting System for Sensor Nodes. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 956. Springer, Singapore. https://doi.org/10.1007/978-981-13-3143-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3143-5_24

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3142-8

  • Online ISBN: 978-981-13-3143-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation