Skip to main content

Energy-Efficient Wireless Sensor Networks for Greenhouse Management

  • Conference paper
  • First Online:
Intelligent Methods Systems and Applications in Computing, Communications and Control (ICCCC 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1435))

Included in the following conference series:

Abstract

Agriculture plays a crucial role in the economy of the country. The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). Development and deployment of sensing technologies is one of the main steps in achieving sustainability in crop production through precision agriculture. The energy crisis will further accelerate this digitization process. The energy crisis will accelerate this digitization process even more, but at the same time it will help farmers consume energy more responsibly. To optimize electrical energy consumption, farmers need monitoring devices. In this paper the authors propose a low-cost, low-power, long range monitoring device development. The results obtained show the usefulness of such a monitoring device.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Similar content being viewed by others

References

  1. Cano, J.C., Berrios, V., Garcia, B., Toh, C.K.: Evolution of IoT: an industry perspective. IEEE Internet Things Mag. 1(2), 12–17 (2018)

    Article  Google Scholar 

  2. Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor. 19, 855–873 (2017)

    Article  Google Scholar 

  3. Alagarsamy, G., Shanthini, J., Naveen Balaji, G.: A survey on technologies and challenges of LPWA for narrowband IoT. In: Al-Turjman, F. (ed.) Trends in Cloud-based IoT. EICC, pp. 73–84. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-40037-8_5

    Chapter  Google Scholar 

  4. Centelles, R.P., Freitag, F., Meseguer, R., Navarro, L.: Beyond the star of stars: an introduction to multihop and mesh for LoRa and LoRaWAN. IEEE Pervasive Comput. 20(2), 63–72 (2021). https://doi.org/10.1109/MPRV.2021.3063443

    Article  Google Scholar 

  5. Ntseane, L., Isong, B.: Analysis of LoRa/LoRaWAN challenges: review. In: 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), pp. 1–7 (2019). https://doi.org/10.1109/IMITEC45504.2019.9015864

  6. Gkotsiopoulos, P., Zorbas, D., Douligeris, C.: Performance determinants in LoRa networks: a literature review. IEEE Commun. Surv. Tutor. 23(3), 1721–1758 (2021). https://doi.org/10.1109/COMST.2021.3090409

    Article  Google Scholar 

  7. Jawad, H.M., Nordin, R., Gharghan, S.K., Jawad, A.M., Ismail, M.: Energy-efficient wireless sensor networks for precision agriculture: a review. Sensors 17, 1781 (2017). https://doi.org/10.3390/s17081781

    Article  Google Scholar 

  8. Himanshu, S., Ahteshamul, H., Zainul, A.J.: Maximization of wireless sensor network lifetime using solar energy harvesting for smart agriculture monitoring. Ad Hoc Netw. 94, 101966 (2019). https://doi.org/10.1016/j.adhoc.2019.101966, ISSN 1570-8705

  9. Pokala, S.S.K., Bini, A.A.: A low cost IoT enabled device for monitoring agriculture field and smart irrigation system. In: Ranganathan, G., Chen, J., Rocha, Á. (eds.) Inventive Communication and Computational Technologies. LNNS, vol. 145, pp. 923–932. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-7345-3_78

    Chapter  Google Scholar 

  10. Kashyap, B., Kumar, R.: Sensing methodologies in agriculture for soil moisture and nutrient monitoring. IEEE Access 9, 14095–14121 (2021). https://doi.org/10.1109/ACCESS.2021.3052478

    Article  Google Scholar 

  11. Tran, N.K.H., Nguyen, C.Q., Nguyen, P.T., Lương, V.Q.D.: A reconfigurable IoT-based monitoring and control system for small-scale agriculture. In: IOP Conference Series: Materials Science and Engineering, Volume 1088, Annual Conference on Computer Science and Engineering Technology (AC2SET), 23rd September 2020, Medan, Indonesia (2021)

    Google Scholar 

  12. Mandal, S., Ali, I., Saha, S.: IoT in agriculture: smart farming using MQTT protocol through cost-effective heterogeneous sensors. In: Bhattacharjee, D., Kole, D.K., Dey, N., Basu, S., Plewczynski, D. (eds.) Proceedings of International Conference on Frontiers in Computing and Systems. AISC, vol. 1255, pp. 903–913. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-7834-2_85

    Chapter  Google Scholar 

  13. Morais, R., Mendes, J., Silva, R., Silva, N., Sousa, J.J., Peres, E.: A versatile, low-power and low-cost IoT device for field data gathering in precision agriculture practices. Agriculture 11, 619 (2021). https://doi.org/10.3390/agriculture11070619

    Article  Google Scholar 

  14. Khan, N., Ray, R.L., Sargani, G.R., Ihtisham, M., Khayyam, M., Ismail, S.: Current progress and future prospects of agriculture technology: gateway to sustainable agriculture. Sustainability 13, 4883 (2021). https://doi.org/10.3390/su13094883

    Article  Google Scholar 

  15. Akhtar, M.N., Shaikh, A.J., Khan, A., Awais, H., Bakar, E.A., Othman, A.R.: Smart sensing with edge computing in precision agriculture for soil assessment and heavy metal monitoring: a review. Agriculture 11, 475 (2021). https://doi.org/10.3390/agriculture11060475

    Article  Google Scholar 

  16. Avram, C., Gligor, A., Avram, E.L.: New approach on optimal decision making based on formal automata models. Procedia Econ. Financ. 3, 852–857 (2012). https://doi.org/10.1016/S2212-5671(12)00240-7

    Article  Google Scholar 

  17. Sabri, Y., Siham, A.: Cloud computing in remote sensing: high performance remote sensing data processing in a big data environment. Int. J. Comput. Commun. Control 16(6), 4236 (2021). ISSN 1841-9844

    Google Scholar 

Download references

Acknowledgment

The research has been funded by the University of Oradea, within the Grants Competition “Scientific Research of Excellence Related to Priority Areas with Capitalization through Technology Transfer: INO - TRANSFER – UO”, Project No. 323/2021.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Attila Simo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Simo, A., Dzitac, S. (2023). Energy-Efficient Wireless Sensor Networks for Greenhouse Management. In: Dzitac, S., Dzitac, D., Filip, F.G., Kacprzyk, J., Manolescu, MJ., Oros, H. (eds) Intelligent Methods Systems and Applications in Computing, Communications and Control. ICCCC 2022. Advances in Intelligent Systems and Computing, vol 1435. Springer, Cham. https://doi.org/10.1007/978-3-031-16684-6_10

Download citation

Publish with us

Policies and ethics