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Smart Monitoring of Farmland Using Fuzzy-Based Distributed Wireless Sensor Networks

  • Anagha Rajput
  • Vinoth Babu KumaraveluEmail author
  • Arthi Murugadass
Conference paper
  • 167 Downloads
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

Agricultural research is practiced globally as farming contributes to national revenue of many countries. The embryonic technologies can be intelligently used to help farmers in automating farming operations for better productivity and reduced human efforts. Recent agricultural researches emphasize majorly on agro-meteorology, wireless sensor network-based Internet of things systems for land surveillance, and geospatial technology for drought assessments. Large farmlands need to be monitored continuously to evaluate soil fertility, crop moisture and protect from crop raiders. This research work proposes an idea of smart monitoring of farmland using wireless sensor networks. The timely collected data by the network will assist the farmers to take precise agronomic decisions. The main constraint of wireless sensor networks is its limited lifetime because sensor nodes are battery-driven devices. The major energy consumption is due to long-distance radio communications. To prolong the lifetime of nodes and reduce the transmission distances, a fuzzy-based distributed clustering protocol is proposed. The network is clustered using fuzzy-c-means algorithm. The cluster head selection in each cluster is then carried out based on perception probability model. The protocol is simulated using MATLAB. The simulation results are obtained for different coverage areas. The proposed protocol outperforms the recent conventional protocols in terms of energy savings and network sustainability. The results indicate that the proposed protocol is scalable and sustainable. Hence, it can be efficiently used in farmland monitoring systems.

Keywords

Fuzzy-c-means (FCM) clustering Farmland monitoring Perception probability Wireless sensor networks (WSNs) 

References

  1. 1.
    Stankovic, J.: Research directions for the internet of things. IEEE Internet Things J. 1(1), 3–9 (2014)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Tamoghna, O., Sudip, M., Narendra, S.G.: Wireless sensor networks for agriculture: the state of the art in practice and future challenges. Comput. Electron. Agric. 118, 66–84 (2015).  https://doi.org/10.1016/j.compag.2015.08.011CrossRefGoogle Scholar
  3. 3.
    Mohanraj, I., Kirthika, A., Naren, J.: Field monitoring and automation using IoT in agriculture domain. Procedia Comput. Sci. 93, 931–939 (2016).  https://doi.org/10.1016/j.procs.2016.07.275CrossRefGoogle Scholar
  4. 4.
    Stefanos, A.N., Dionisis, K., Dimitrios, D.V., Christos, D.: Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput. Electron. Agric. 113, 154–163 (2015)CrossRefGoogle Scholar
  5. 5.
    Awasthi, B., Singh, N.B.: Status of human-wildlife conflict and assessment of crop damage by wild animals in Gaurishankar conservation area, Nepal. J. Inst. Sci. Technol. 20(1), 107–111 (2015)Google Scholar
  6. 6.
    Subramania, A.K., Paramasivam, I.: The impact of wireless sensor network in the field of precision agriculture: a review. Wireless Personal Communications (2017)Google Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    Kumar, A., Shwe, H., Wong, K., Chong, P.: Location-based routing protocols for wireless sensor networks: a survey. Wireless Sens. Netw. 9, 25–72 (2017).  https://doi.org/10.4236/wsn.2017.91003CrossRefGoogle Scholar
  9. 9.
    Tifenn, R., Abdelmadjid, B., Yacine, C.: Energy efficiency in wireless sensor networks: a top down survey. Comput. Netw. 67, 104–122 (2014)CrossRefGoogle Scholar
  10. 10.
    Owojaiye, G., Sun, Y.: Focal design issues affecting the deployment of wireless sensor networks for pipeline monitoring. Ad Hoc Netw. 11(3), 1237–1253 (2013)CrossRefGoogle Scholar
  11. 11.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, pp. 1–10 (2000)Google Scholar
  12. 12.
    Juan, I., Von, D.: Zigbee based wireless sensor network localization for cattle monitoring in grazing fields. Comput. Electron. Agric. 74(2), 258–264 (2010)CrossRefGoogle Scholar
  13. 13.
    Samuel, D., Timothy, S., Jan, D.P., Ellen, V., Philippe, D.S., Marc, V.M.: Evaluating corrections for a horizontal offset between sensor and position data for surveys on land. Precision Agric. 17, 349–364 (2015)Google Scholar
  14. 14.
    Varsha, B., Prasad, K., Vijaykumar, S., Neha, D., Arvind, S.: WSN application for crop protection to divert animal intrusions in the agricultural land. Comput. Electron. Agric. 133, 88–96 (2017)CrossRefGoogle Scholar
  15. 15.
    Serrano, J.M., Shahidian, S., Marques, J., Carvalho, M.: Monitoring of soil organic carbon over 10 years in a Mediterranean silvo-pastoral system: potential evaluation for differential management. Precision Agric. 17, 274–295 (2016)CrossRefGoogle Scholar
  16. 16.
    Akylidiz, L.F., Pompoli, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005)CrossRefGoogle Scholar
  17. 17.
    Akylidiz, L.F., Stuntebeck, E.P.: Underground sensor networks: research challenges. Ad Hoc Netw. 4(6), 669–686 (2006)CrossRefGoogle Scholar
  18. 18.
    Parameswaran, V., Zhou, H.: Irrigation control using wireless underground sensor networks. In: Proceedings of 6th International Conference on Sensing Technology, pp. 653–659 (2012)Google Scholar
  19. 19.
    Chang, J.Y.: A distributed cluster computing energy-efficient routing scheme for internet of things systems. Wireless Pers. Commun. 82(2), 757–776 (2014)CrossRefGoogle Scholar
  20. 20.
    Sherine, M., Abd, E., Basma, M.: Precision farming solution in Egypt using the wireless sensor network technology. Egyptian Info. J. 14, 221–233 (2013)CrossRefGoogle Scholar
  21. 21.
    Manjeshwar, A., Agrawal, D.: APTEEN- a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In: proceeding of 16th International Parallel and Distributed Processing IEEE Symposium (2002)Google Scholar
  22. 22.
    Rongbiao, Z., Zuowei, R., Jian, S., Wenjing, T., Dongmin, N., Yang, Q.: Method for monitoring the cotton plant vigor based on the WSN technology. Comput. Electron. Agric. 133, 68–79 (2017)CrossRefGoogle Scholar
  23. 23.
    Hardware components for crop canopy sensor based Nitrogen management. http://www.agleader.com
  24. 24.
    Jia, D., Zhu, H., Zou, S., Hu, P.: Dynamic cluster head selection method for wireless sensor network. IEEE Sens. J. 16(8), 2746–2754 (2016).  https://doi.org/10.1109/JSEN.2015.2512322CrossRefGoogle Scholar
  25. 25.
    Chang, J.Y., Pei, H.J.: An efficient cluster-based power saving scheme for wireless sensor networks. EURASIP J. Wireless Commun. Netw. 1–10 (2012)Google Scholar
  26. 26.
    Anjana, G., Sonika, D.: Performance analysis of various fuzzy clustering algorithms: a review. Seventh Int. Conf. Commun. Comput. Virtualization. 79, 100–111 (2016)Google Scholar
  27. 27.
    Hoang, D.C., Kumar, R., Panda, S.K.: Realization of a cluster-based protocol using fuzzy-c-means algorithm for wireless sensor networks. IET Wireless Sensor Syst. 3(3), 163–171 (2013)CrossRefGoogle Scholar
  28. 28.
    Logambigai, R., Kannan, A.: Fuzzy logic based unequal clustering for wireless sensor networks. Wireless Netw. 22(3), 945–957 (2016)CrossRefGoogle Scholar
  29. 29.
    Baranidharan, B., Santhi, B.: FLECH: fuzzy logic based energy efficient clustering hierarchy for non-uniform wireless sensor networks. Hindawi Wireless Commun. Mobile Comput. (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electronics EngineeringVellore Institute of TechnologyVelloreIndia
  2. 2.Sreenivasa Institute of Technology and Management StudiesChittoorIndia

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