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Integration of WSN and IoT for Smart Cities pp 181–191Cite as

A Novel Scheme for an IoT-Based Weather Monitoring System Using a Wireless Sensor Network

Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

Life becomes exceptionally less difficult in all stages with the improvement of automation innovation. Today, programmed techniques are being picked over manual strategies. The Web has turned into a part of life, and the Internet of things (IoT) is the cutting edge technology developing web expertise in accordance with the rapid increase in the quantity of web clients. From mechanical apparatus to client, the IoT is creating a system of regular articles that can share information and complete obligations when you are occupied with different happenings. In this chapter, we present an IoT-based environment monitoring framework utilizing the WSN innovation. The primary goal of the framework is to give environmental parameters at remote areas utilizing the web. This proposed framework speaks to the environmental parameter monitor utilizing wireless sensors associated with the Internet. There are two distinctive sensor nodes in the framework. Clients can observe the information by means of the web application from anyplace on the Internet. In the event that the sensor node information surpasses the designed range in the web application, a notice message is sent to clients to improve environmental conditions.

Keywords

  • Internet of Things (IoT)
  • Wireless sensor network
  • Environmental monitoring
  • Sensor module

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  • DOI: 10.1007/978-3-030-38516-3_10
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References

  1. Vujović, V., Maksimović, M.: Raspberry Pi as a wireless sensor node: performances and constraints. In: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, pp. 1013–1018 (2014)

    Google Scholar 

  2. Mois, G., Folea, S., Sanislav, T.: Analysis of three IoT-based wireless sensors for environmental monitoring. IEEE Trans. Instrum. Meas. PP(99), 1–9 (2017) 

    Google Scholar 

  3. Nikhade, S.G.: Wireless sensor network system using Raspberry Pi and zigbee for environmental monitoring applications. In: 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, pp. 376–381 (2015)

    Google Scholar 

  4. Shete, R., Agrawal, S.: IoT based urban climate monitoring using Raspberry Pi. In: International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, pp. 2008–2012 (2016)

    Google Scholar 

  5. Khalfi, B., Hamdaoui, B., Ben-Ghorbel, M., Guizani, M., Zhang, X., Zorba, N.: Optimizing joint data and power transfer in energy harvesting multiuser wireless networks. IEEE Trans. Veh. Technol. PP(99), 1 (2017)

    Google Scholar 

  6. Shah, J., Mishra, B.: IoT enabled environmental monitoring system for smart cities. In: International Conference on Internet of Things and Applications (IOTA), Pune, pp. 383–388 (2016)

    Google Scholar 

  7. Jain, R., Shah, H.: An anomaly detection in smart cities modeled as wireless sensor network. In: International Conference on Signal and Information Processing (IConSIP), Vishnupuri, pp. 1–5 (2016)

    Google Scholar 

  8. Teixeira, A.F., Postolache, O.: Wireless sensor network and web based information system for asthma trigger factors monitoring. In: 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, pp. 1388–1393 (2014)

    Google Scholar 

  9. Mukhopadhyay, S.: Research activities on sensing, instrumentation, and measurement: New Zealand perspective. IEEE Instrum. Meas. Mag. 19(2), 32–38 (2016)

    CrossRef  Google Scholar 

  10. Lazarescu, M.T.: Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(1), 4554 (2013)

    CrossRef  Google Scholar 

  11. Ram, K.S.S., Gupta, A.N.P.S.: IoT based data logger system for weather monitoring using wireless sensor networks. Int. J. Eng. Trends Technol. 32(2), 71–75 (2016)

    CrossRef  Google Scholar 

  12. Chen, S., Wang, Y.: Capacity of data collection in arbitrary wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 23(1), 5260 (2012)

    CrossRef  MathSciNet  Google Scholar 

  13. Harrow, P., Das, R.: Wireless Sensor Networks 2010–2020. DitchELtd, Cambridge, UK (2010)

    Google Scholar 

  14. Romer, K., Matter, F.: The design space of wireless sensor networks. IEEE Wirel. Commun. 11(6), 54–61 (2004)

    CrossRef  Google Scholar 

  15. Hasler, A., Talzi, I., Tschudin, C., Gruber, S.: Wireless sensor networks in permafrost research —Concept, requirements, implementation and challenges. In: Proceedings of 9th International Conference on Permafrost, vol. 1, pp. 669–674 (2008)

    Google Scholar 

  16. Beutel, J., Gruber, S., Hasler, A., Lim, R., Meier, A., Plessl, C., Talzi, I., Thiele, L., Tschudin, C., Woehrle, M., Yuecel, M.: Perma DAQ: Ascientific ins trument for precision sensing and data recovery in environmental extremes. In: Information Processing in Sensor and Networks, pp. 265–276 (2009)

    Google Scholar 

  17. Yang, J., Li, X.: Design and implementation of low-power wireless sensor networks for environmental monitoring. In: Wireless Communications, Networking and Information Security, pp. 593–597, (2010)

    Google Scholar 

  18. Burris, N., von Rickenbach, P., Wattenhofer, R.: Dozer: ultra-low power data gathering in sensor networks. In: Information Processing in Sensor Networks, pp. 450–459 (2007)

    Google Scholar 

  19. Sampathkumar, A., Vivekanandan, P.: Gene selection using multiple queen colonies in large scale machine learning. Int. J. Electr. Eng. 9(6), 97–111 (2018)

    Google Scholar 

  20. Ramana, T.V., Pandian, A., Ellammal, C., Jarin, T., Zaki Rashed, A.N., Sampathkumar, A.: Numerical analysis of circularly polarized modes in coreless photonic crystal fiber. Results Phys., Elsevier. 13, 102140 (2019)

    CrossRef  Google Scholar 

  21. Sampathkumar, A., Vivekanandan, P.: Gene selection using PLOA method in microarray data for cancer classification. J. Med. Imaging Health Inform. 9(6), 1294–1300 (2019)

    CrossRef  Google Scholar 

  22. Madhavan, P., Thamizharasi, V., Ranjith Kumar, M.V., Suresh Kumar, A., Jabin, M.A., Sampathkumar, A.: Numerical investigation of temperature dependent water infiltrated D-shaped dual core photonic crystal fiber (D-DC-PCF) for sensing applications. Results Phys., Elsevier. 13, 102289 (2019)

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing Science and Engineering, VIT Bhopal University, Bhopal, India

    A. Sampathkumar

  2. Department of Computer Science and Engineering, Mewar University, Chittorgarh, India

    S. Murugan

  3. Faculty of Computers & Artificial Intelligence, Beni-Suef University, Beni Suef, Egypt

    Ahmed A. Elngar

  4. Department Computer Information Systems, Faculty of Information & Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  5. Department of IT, Sri Krishna College of Technology, Coimbatore, India

    R. Kanmani & A. Christy Jeba Malar

Authors
  1. A. Sampathkumar
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  2. S. Murugan
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  3. Ahmed A. Elngar
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  4. Lalit Garg
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  5. R. Kanmani
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  6. A. Christy Jeba Malar
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Corresponding author

Correspondence to A. Sampathkumar .

Editor information

Editors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

    Shalli Rani

  2. School of Electrical & Electronics Engineering (SEEE), VIT Bhopal University, Bhopal, Madhya Pradesh, India

    Dr. R. Maheswar

  3. Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India

    Dr. G. R. Kanagachidambaresan

  4. Department of ECE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India

    Ph.D. P. Jayarajan

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Sampathkumar, A., Murugan, S., Elngar, A.A., Garg, L., Kanmani, R., Malar, A.C.J. (2020). A Novel Scheme for an IoT-Based Weather Monitoring System Using a Wireless Sensor Network. In: Rani, S., Maheswar, R., Kanagachidambaresan, G., Jayarajan, P. (eds) Integration of WSN and IoT for Smart Cities. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-38516-3_10

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  • DOI: https://doi.org/10.1007/978-3-030-38516-3_10

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