Smart Irrigation Alert System Using Multihop Wireless Local Area Networks

  • C. V. N. S. Lalitha
  • M. Aditya
  • Manoj PandaEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 98)


From past decades, India is an agriculture-based country where the majority of the population is heavily dependent on farming. However, energy management and resource conservation continues to be the major issues in agricultural domain. The main motivations of this research is to conserve water which is a fast depleting source, and also automates the process of watering in order to reduce human workload in remote areas. In this paper, a smart irrigation alert system is developed using NodeMCU boards, a soil moisture sensor and a servo motor. The sensor measures the volumetric content of water in the soil and data is uploaded to the cloud. The main challenge addressed in this research is to seamlessly connect multiple Node MCUs to a sink (or, gateway) node such that the data can be uploaded to the cloud. Two topologies are considered. The first one is the star topology which is efficient for a kitchen garden where each of the plants is in close proximity of the sink. The second one is the multi-hop topology which is necessary in a big agriculture field. The soil moisture is sensed using multiple FC-28 sensors and uploaded to the cloud. When the moisture content drops below the threshold value, an alert notification is sent to the subscriber by e-mail and automatic watering follows by actuating the servo motor. The user can monitor and control the status of watering anywhere through the Internet. The integration of sensors, cloud and the servo motor through multiple Node MCUs is the main novelty of this work.


Internet of Things (IoT) Node Micro Controller Unit (Node MCU) Automatic irrigation system Wireless sensor networks 


  1. 1.
    Joshi, A., Ali, L.: A detailed survey on auto irrigation system. In: IEEE Conference on Emerging Devices and Smart Systems (2017)Google Scholar
  2. 2.
    Rajkumar, N., Abinaya, S., Venkatesa Kumar, V.: Intelligent irrigation system- an IoT based approach. In: IEEE International Conference on Innovations in Green Energy and Healthcare TechnologiesGoogle Scholar
  3. 3.
    Shah, S.H., Yaqoob, I.: A survey: Internet of Things (IoT) technologies, applications and challenges. In: 4th IEEE International Conference on Smart Energy Grid Engineering (2016)Google Scholar
  4. 4.
    Giri, M., Wavhal, D.N.: Automated ıntelligent wireless drip ırrigation using linear programming. Int. J. Adv. Res. Comput. Eng. Technol. 2(1), 1–5 (2013)Google Scholar
  5. 5.
    Ramu, M., Rajendra Prasad, C.H.: Cost effective atomization of Indian agricultural system using 8051 microcontroller. Int. J. Adv. Res. Comput. Commun. Eng. 2(7), 2563–2566 (2013)Google Scholar
  6. 6.
    Dinesh Kumar, N., Pramod, S., Sravani, Ch.: Intelligent irrigation system. Int. J. Agric. Sci. Res. 3(3), 23–30 (2013)Google Scholar
  7. 7.
    Raut, J., Shere, V.B.: Automatic drip ırrigation system using wireless sensor network and data mining algorithm. Int. J. Electron. Commun. Comput. Eng. 5(07), 195–198 (2014)Google Scholar
  8. 8.
    Kavianand, G., Nivas, V.M., Kiruthika, R., Lalitha, S.: Smart drip irrigation system for sustainable agriculture. In: 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), pp. 19–22. IEEE (2016)Google Scholar
  9. 9.
    Rajalakshmi, P., Devi Mahalakshmi, S.: IOT based crop-field monitoring and irrigation automation. In: 2016 10th International Conference on Intelligent Systems and Control (ISCO), pp. 1–6. IEEE (2016)Google Scholar
  10. 10.
    Sales, N., Remýdios, O., Arsenio, A.: Wireless sensor and actuator system for smart irrigation on the cloud. In: IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 693–698 (2015)Google Scholar
  11. 11.
    Nilson, K., Sharmila, G., Praveen Kumar, P.: Intelligent auto ırrigation system using ARM processor and GSM. In: International Conference on Innovative Trends in Electronics Communication and Applications 2015, pp. 36–40 (ICIECA 2015) (2015). ISBN 978-81-929742-6-2Google Scholar
  12. 12.
    Viswanathan, A., Shibu, N.S.B., Rao, S., Ramesh, M.V.: Security challenges in the ıntegration of IoT with WSN for smart grid applications. In: 2017 IEEE International Conference on Computational Intelligence and Computing Research(ICCIC), Coimbatore (2017)Google Scholar
  13. 13.
    Varman, S.A., Baskaran, A.R., Aravindh, S., Prabhu, E.: Deep learning and IoT for smart agriculture using WSN. In: 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 (2018)Google Scholar
  14. 14.
    Ramesh, S., Smys, S.: Performance analysis of heuristic clustered (HC) architecture in wireless networks. In: 2017 International Conference on Inventive Systems and Control (ICISC), pp. 1–4. IEEE (2017)Google Scholar
  15. 15.
    Smys, S., Bala, G.J., Raj, J.S.: Self-organizing hierarchical structure for wireless networks. In: 2010 International Conference on Advances in Computer Engineering (ACE), pp. 268–270. IEEE (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • C. V. N. S. Lalitha
    • 1
  • M. Aditya
    • 1
  • Manoj Panda
    • 1
    Email author
  1. 1.Department of Electronics and Communication Engineering, Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatoreIndia

Personalised recommendations