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Opportunities and Challenges with WSN’s in Smart Technologies: A Smart Agriculture Perspective

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Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1132))

Abstract

Study of a smart environment is very common these days. The techniques for building smart applications, consist of manufacturing devices and sensors, which can communicate with each other to monitor their surrounding conditions. These conditions may be environmental conditions like pollutant gases, radiations, noise and waste etc. Basically, useful information is generated by the sensor nodes deployed in the environment and decision implementation is done by the controller to control the conditions according to requirement of the users or applications. Wireless sensor networks are able to accumulate the information from the environment. This may be done with the help of tiny sensors nodes which can communicate with the other sensor nodes wirelessly and are not harmful to the environment. These tiny sensor nodes operate on low power to perform various operations like sensing and any type of calculations. The communication process between the sensor nodes also consumes low power which will ensure the long life of the networks. The architecture of the sensor nodes gives the advantage to program the micro-controllers associated with these, depending upon the applications. There are numerous of applications of wireless sensor networks which include applications in healthcare, defense, smart cities, event detection and underwater monitoring applications. Also in the field of smart agriculture, sensors play a vital role in different applications like soil quality checking, precision agriculture and irrigation control. In this chapter, a study of wireless sensor networks for smart applications is conducted. The main focus of the chapter is on smart applications in agriculture. The chapter answers questions like how to design and develop smart techniques for agriculture, how can the wireless sensor networks help in precision agriculture.

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References

  1. Chaudhary, D.D., Nayse, S.P., Waghmare, L.M.: Application of wireless sensor networks for green house parameters control in precision agriculture. Int. J. Wirel. Mob. Netw. 3(1), 140–149 (2011)

    Article  Google Scholar 

  2. El-kader, S.M.A., El-Basioni, B.M.M.: Precision farming solution in Egypt using the wireless sensor network technology. Egypt. Inform. J. 14, 221–233 (2013)

    Article  Google Scholar 

  3. Keshtgary, M., Deljoom, A.: An efficient wireless sensor network for precision agriculture. Can. J. Multimedia Wirel. Netw. 3(1), 1–5 (2012)

    Google Scholar 

  4. Ahsan, A., Ahmed, B.: Identification of the type of agriculture suited for application of wireless sensor network. Russ. J. Agric. Socio-Econ. Sci. 12(12), 19–36 (2012)

    Google Scholar 

  5. Botta, A., de Donato, W., Persico, V., Pescape, A.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst. 56, 684–700 (2014). https://doi.org/10.1016/j.future.2015.09.021

    Article  Google Scholar 

  6. 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). https://doi.org/10.1016/j.future.2013.01.010

    Article  Google Scholar 

  7. Edwards Murphy, F., Popovici, E., Whelan, P., Magno, M.: Development of a heterogeneous wireless sensor network for instrumentation and analysis of beehives. In: 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 346–351 (2015). https://doi.org/10.1109/I2MTC.2015.7151292

  8. Jayaraman, P.P., Palmer, D., Zaslavsky, A., Georgakopoulos, D.: Do-it-yourself digital agriculture applications with semantically enhanced IoT platform. In: 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1–6 (2015). https://doi.org/10.1109/ISSNIP.2015.7106951

  9. Barcelo-Ordinas, J.M., Chanet, J.P., Hou, K.-M., Garcia-Vidal, J.: A survey of wireless sensor technologies applied to precision agriculture. In: Precision Agriculture 13, pp 801–808 (2016)

    Google Scholar 

  10. Liu, Y., Wang, H., Wang, J., Qian, K., Kong, N., Wang, K., et al.: Enterprise-oriented IoT name service for agricultural product supply chain management. Int. J. Distrib. Sens. Netw. 11(8), 1–12 (2015). https://doi.org/10.1155/2015/308165

    Article  Google Scholar 

  11. Nageswara Rao, R., Sridhar, B.: IoT based smart crop-field monitoring and automation irrigation system. In: Proceedings of 2nd International Conference on Inventive Systems and Control. ICISC 2018, no. Icisc, pp. 478–483 (2018)

    Google Scholar 

  12. Suriyachai, P., Pansit, J.: Effective utilization of IoT for low-cost crop monitoring and automation. In: International Symposium on Wireless Personal Multimedia Communications WPMC, vol. 2018-November, pp. 246–251 (2019)

    Google Scholar 

  13. Rajalakshmi, P.: IOT based crop-field monitoring and irrigation automation. In: 2018 2nd International Conference on Inventive Systems and Control, no. Icisc, pp. 478–483 (2018)

    Google Scholar 

  14. Pandithurai, O., Aishwarya, S., Aparna, B., Kavitha, K.: Agro-tech: a digital model for monitoring soil and crops using internet of things (IOT). In: Proceedings of 3rd IEEE International Conference on Science Technology Engineering & Management. ICONSTEM 2017, vol. 2018-Janua, pp. 342–346 (2018)

    Google Scholar 

  15. Khan, S., Hussain, M.M.: IoT enabled plant sensing systems for small and large scale automated horticultural monitoring. In: IEEE 5th World Forum Internet Things, WF-IoT 2019 - Conference Proceedings, pp. 303–308 (2019)

    Google Scholar 

  16. Ghanshala, K.K., Chauhan, R., Joshi, R.C.: A novel framework for smart crop monitoring using internet of things (IOT). In: 1st International Conference on Secure Cyber Computing and Communication. ICSCCC 2018, pp. 62–67 (2019)

    Google Scholar 

  17. Sreekantha, D.K., Kavya, A.M.: Agricultural crop monitoring using IOT - a study. In: Proceedings of 2017 11th International Conference on Intelligent Systems and Control. ISCO 2017, pp. 134–139 (2017)

    Google Scholar 

  18. Tanmayee, P.: Rice crop monitoring system-A lot based machine vision approach. In: 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software. ICNETS2 2017, pp. 26–29 (2017)

    Google Scholar 

  19. Suma, M.R., Madhumathy, P.: Acquisition and mining of agricultural data using ubiquitous sensors with internet of things. In: International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 15. https://doi.org/10.1007/978-981-10-8681-6_24

    Google Scholar 

  20. Sushanth, G., Sujatha, S.: IOT based smart agriculture system. In: 2018 International Conference on Wireless Communications, Signal Processing and Networking. WiSPNET 2018, pp. 1–4 (2018)

    Google Scholar 

  21. Suciu, G., Istrate, C., Ditu, M.: Through isolation. In: 2019 Global IoT Summit, pp. 1–5 (2019)

    Google Scholar 

  22. Dagar, R., Som, S., Khatri, S.K.: Smart farming - IoT in agriculture. In: Proceedings of International Conference on Inventive Research in Computing Applications. ICIRCA 2018, no. Icirca, pp. 1052–1056 (2018)

    Google Scholar 

  23. Somani, A.K., Ramakrishna, S., Chaudhary, A., Choudhary, C., Agarwal, B.: Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, vol. 985. Springer, Singapore (2019)

    Book  Google Scholar 

  24. Okayasu, T., Nugroho, A.P., Arita, D., Yoshinaga, T., Hashimoto, Y., Tachiguchi, R.: Sensing and visualization in agriculture with affordable smart devices. In: Smart Sensors IoT Frontier, pp. 1–378 (2017)

    Chapter  Google Scholar 

  25. Rabadiya Kinjal, A., Shivangi Patel, B., Chintan Bhatt, C.: Smart irrigation: towards next generation agriculture. In: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence, vol. 30, pp. 315–333. Springer (2018)

    Google Scholar 

  26. Tenzin, S., Siyang, S., Pobkrut, T., Kerdcharoen, T.: Low cost weather station for climate-smart agriculture. In: 2017 9th International Conference on Knowledge and Smart Technology Crunching Information of Everything. KST 2017, pp. 172–177 (2017)

    Google Scholar 

  27. Abdullah, A., Al Enazi, S., Damaj, I.: AgriSys: a smart and ubiquitous controlled-environment agriculture system, MAGRISYS: a smart and ubiquitous controlled-environment agriculture system. In: Proceedings of International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2018, pp. 764–768 (2019)

    Google Scholar 

  28. Kavianand, G., Nivas, V.M., Kiruthika, R., Lalitha, S.: Smart drip irrigation system for sustainable agriculture. In: Proceedings of 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development. TIAR 2016, no. Tiar, pp. 19–22 (2016)

    Google Scholar 

  29. Patil, K.A., Kale, N.R.: A model for smart agriculture using IOT. Int. J. Innov. Technol. Explor. Eng. 8(6), 1656–1659 (2019)

    Google Scholar 

  30. Reche, A., Sendra, S., Díaz, J.R., Lloret, J.: A smart M2M deployment to control the agriculture irrigation. In: Ad-hoc Networks and Wireless: ADHOC-NOW 2014 International Workshops ETSD, MARSS, MWaoN, SecAN, SSPA, and WiSARN Benidorm, Spain, June 22–27, 2014 Revised Selected Papers. Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence), vol. 8629, pp. 139–151 (2015)

    Google Scholar 

  31. Katsoulas, N., Elvanidi, A., Ferentinos, K.P., Kacira, M., Bartzanas, T., Kittas, C.: Crop reflectance monitoring as a tool for water stress detection in greenhouses: a review. Biosyst. Eng. 151, 374–398. https://doi.org/10.1016/j.biosystemseng.2016.10.003

    Article  Google Scholar 

  32. Katsoulas, N., Ferentinos, K.P., Tzounis, A., Bartzanas, T., Kittas, C.: Spatially distributed greenhouse climate control based on wireless sensor network measurements. Acta Hortic. 1154, 111–120 (2017). https://doi.org/10.17660/ActaHortic.2017.1154.15

    Article  Google Scholar 

  33. Ferentinos, K.P., Katsoulas, N., Tzounis, A., Kittas, C., Bartzanas, T.: A climate control methodology based on wireless sensor networks in greenhouses. Acta Hortic. 1107, 75–82. https://doi.org/10.17660/ActaHortic.2015.1107.9

  34. Bonomi, F., Milito, R., Natarajan, P., Zhu, J:. Fog computing: a platform for internet of things and analytics. Studies in Computational Intelligence, vol. 546, pp. 169–186. https://doi.org/10.1007/978-3-319-05029-4_7

    Chapter  Google Scholar 

  35. Sicari, S., Rizzardi, A., Grieco, L.A., Coen-Porisini, A.: Security, privacy and trust in internet of things: the road ahead. Comput. Netw. 76, 146–164 (2015). https://doi.org/10.1016/j.comnet.2014.11.008

    Article  Google Scholar 

  36. Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds.): Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol. 958. Springer, Singapore (2018)

    Google Scholar 

  37. Kumar, N., Singh, Y., Singh, P.K.: Reputation-based energy efficient opportunistic routing for wireless sensor networks. J. Telecommun. Electron. Comput. Eng. 9(3), 29–33 (2017)

    Google Scholar 

  38. Kumar, N., Singh, Y., Singh, P.K.: An energy efficient trust aware opportunistic routing protocol for wireless sensor network. Int. J. Inf. Syst. Model. Des. (IJISMD) 8(2), 30–44 (2017)

    Article  Google Scholar 

  39. Kumar, N., Singh, Y.: Trust and packet load balancing based secure opportunistic routing protocol for WSN. In: 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 463–467. IEEE, September 2017

    Google Scholar 

  40. Kumar, N., Singh, Y.: An energy efficient and trust management based opportunistic routing metric for wireless sensor networks. In: 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 611–616. IEEE, December 2016

    Google Scholar 

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Correspondence to Nagesh Kumar or Brijbhushan Sharma .

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Kumar, N., Sharma, B. (2020). Opportunities and Challenges with WSN’s in Smart Technologies: A Smart Agriculture Perspective. In: Singh, P., Bhargava, B., Paprzycki, M., Kaushal, N., Hong, WC. (eds) Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's. Advances in Intelligent Systems and Computing, vol 1132. Springer, Cham. https://doi.org/10.1007/978-3-030-40305-8_22

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  • DOI: https://doi.org/10.1007/978-3-030-40305-8_22

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