Skip to main content
SpringerLink
Log in

The Role of IoT-Based Devices for the Better World

  • Conference paper
  • First Online:
Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 625))

Abstract

In last 15 years, wireless sensor network (WSN)-based and internet of things (IoT)-based system effect human on every aspect of our life. WSN grows in rapid pace as it emerges as one of the most important technological developments. Since its emergence, the wireless sensor network (WSN) constitutes one of the most important technological developments in the last decade. It has the potential to affect our lifestyle deeply. However, its success relies greatly on a well-defined architecture that will provide scalable, dynamic, and secure basement to its deployment. The IoT-based architectures are intelligent applications that make energy, logistics, industrial control, retail, agriculture, and many other domains “smarter.” With emergence of wireless sensor network as Internet of Things is a new revolution of the Internet, that is, rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, and networking and cloud technologies. With rapidly increasing wireless sensor network (WSN)- and internet of thing (IoT)-based services; a lot of data is generated. It is becoming very difficult to manage power constrained small sensors and other data-generating devices. WSN or IoTs enables anything can become part of the Internet and generate data. Moreover, data generation needs to be managed according to its requirements, to create more valuable services. For this purpose, integration of WSN or IoTs with cloud computing is becoming very important. The small IoT sensors deployed in agricultural fields measuring the vast amount of information using sensors like air pressure, environmental temperature, relative humidity, solar radiation, soil moisture, soil temperature, wind speed, leaf wetness, CO concentration and N, P, and K concentration. These sensors continue to monitor and generate huge data which need to process sensibly to extract key factors.

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

Access this chapter

Log in via an institution
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. J. Yick, et al., “Wireless sensor network survey,” Computer Networks, vol. 52, pp. 2292–2330, 2008.

    Google Scholar 

  2. G. Rakocevic, “Overview of sensors for wireless sensor networks,” Transactions on Internet Research, vol. 5, pp. 13–8, 2009.

    Google Scholar 

  3. M. Soyturk, H. Cicibas, and O. Unal, “Real-Time Data Acquisition in Wireless Sensor Networks,” in Data Acquisition by Michele Vadursi, ed: www.intechopen.com, November 28, 2010, pp. 63–84.

  4. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, pp. 393–422, 2002.

    Google Scholar 

  5. K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad hoc networks, vol. 3, pp. 325–349, 2005.

    Google Scholar 

  6. W. R. Heinzelman, J. Kulik, and H. Balakrishnan, “Adaptive protocols for information dissemination in wireless sensor networks,” in Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, 1999, pp. 174–185.

    Google Scholar 

  7. C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed diffusion: a scalable and robust communication paradigm for sensor networks,” in Proceedings of the 6th annual international conference on Mobile computing and networking, 2000, pp. 56–67.

    Google Scholar 

  8. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in Proceedings of the 33rd annual Hawaii international conference on System sciences, 2000, p. 10 pp. vol. 2.

    Google Scholar 

  9. A. Manjeshwar and D. P. Agrawal, “TEEN: a routing protocol for enhanced efficiency in wireless sensor networks,” in Proceedings 15th International Parallel and Distributed Processing Symposium. San Francisco, CA, USA 23–27 April 2000 pp. 2009–2015.

    Google Scholar 

  10. A. Manjeshwar and D. P. Agrawal, “APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless,” in Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS 2002), Ft. Lauderdale, FL 15–19 April 2001 pp. 1–8.

    Google Scholar 

  11. Y. Xu, J. Heidemann, and D. Estrin, “Geography-informed energy conservation for ad hoc routing,” in Proceedings of the 7th annual ACM international conference on Mobile computing and networking (ACM SIGMOBILE, 2001), Rome, Italy, 2001, pp. 70–84.

    Google Scholar 

  12. Y. Yu, R. Govindan, and D. Estrin, “Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks,” UCLA Computer Science Department. Technical report ucla/csd-tr-01-0023, May, 2001.

    Google Scholar 

  13. T. He, J. A. Stankovic, C. Lu, and T. Abdelzaher, “SPEED: A stateless protocol for real-time communication in sensor networks,” in Proceedings of the 23rd International Conference on Distributed Computing Systems, 2003, 2003, pp. 46–55.

    Google Scholar 

  14. A. Koubaa, A. Cunha, and M. Alves, “A time division beacon scheduling mechanism for IEEE 802.15. 4/ZigBee cluster-tree wireless sensor networks,” in the Proceedings of 19th Euromicro Conference on Real-Time Systems, 2007(ECRTS’07), 2007, pp. 125–135.

    Google Scholar 

  15. J.-G. Jia, Z.-W. He, J.-M. Kuang, and Y.-H. Mu, “An energy consumption balanced clustering algorithm for wireless sensor network,” in the proceedings of 6th International Conference On Wireless Communications Networking and Mobile Computing (WiCOM, 2010), 2010, pp. 1–4.

    Google Scholar 

  16. M. Shokouhifar and A. Hassanzadeh, “An energy efficient routing protocol in wireless sensor networks using genetic algorithm,” Advances in Environmental Biology, vol. 8, pp. 86–93, 2014.

    Google Scholar 

  17. M. Shokouhifar and A. Jalali, “A new evolutionary based application specific routing protocol for clustered wireless sensor networks,” AEU-International Journal of Electronics and Communications, vol. 69, pp. 432–441, 2015.

    Google Scholar 

  18. D. Gao, H. Lin, and X. Liu, “Routing protocol for k-anycast communication in rechargeable wireless sensor networks,” Computer Standards & Interfaces, vol. 43, pp. 12–20, 2016.

    Google Scholar 

  19. M. Bagaa, M. Younis, D. Djenouri, A. Derhab, and N. Badache, “Distributed low-latency data aggregation scheduling in wireless sensor networks,” ACM Transactions on Sensor Networks (TOSN), vol. 11, p. 49, 2015.

    Google Scholar 

  20. H.-Y. Liu, Y.-N. Guo, M.-R. Chen, and Y.-S. Zhu, “A Hierarchical Scheduling Scheme in WSNs Based on Node-Failure Pretreatment,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–12, 2015.

    Google Scholar 

  21. S. D. T. Kelly, N. K. Suryadevara, and S. C. Mukhopadhyay, “Towards the implementation of IoT for environmental condition monitoring in homes,” IEEE Sensors Journal, vol. 13, pp. 3846–3853, 2013.

    Google Scholar 

  22. H. Ochiai, H. Ishizuka, Y. Kawakami, and H. Esaki, “A DTN-based sensor data gathering for agricultural applications,” IEEE Sensors Journal, vol. 11, pp. 2861–2868, 2011.

    Google Scholar 

  23. A. Chen, H.-Y. Chen, and C. Chen, “Use of temperature and humidity sensors to determine moisture content of oolong tea,” sensors, vol. 14, pp. 15593–15609, 2014.

    Google Scholar 

  24. R. Aquino-Santos, A. Gonzalez-Potes, A. Edwards-Block, and R. A. Virgen-Ortiz, “Developing a new wireless sensor network platform and its application in precision agriculture,” sensors, vol. 11, pp. 1192–1211, 2011.

    Google Scholar 

  25. S. Thaskani and G. Rammurthy, “Application of topology under control wireless sensor networks in precision agriculture,” Centre for Communications, International Institute of Information Technology, Hyderabad, 2010.

    Google Scholar 

  26. L. Emmi, M. Gonzalez-de-Soto, G. Pajares, and P. Gonzalez-de-Santos, “Integrating sensory/actuation systems in agricultural vehicles,” sensors, vol. 14, pp. 4014–4049, 2014.

    Google Scholar 

  27. N. Shah, U. Desai, I. Das, S. Merchant, and S. Yadav, “In-Field Wireless Sensor Network (Wsn) for Estimating Evapotranspiration and Leaf Wetness,” International Agricultural Engineering Journal, vol. 18, pp. 43–51, 2009.

    Google Scholar 

  28. A. -J. Garcia-Sanchez, F. Garcia-Sanchez, and J. Garcia-Haro, “Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops,” Computers and electronics in agriculture, vol. 75, pp. 288–303, 2011.

    Google Scholar 

  29. Y. Kim, R. G. Evans, and W. M. Iversen, “Evaluation of closed-loop site-specific irrigation with wireless sensor network,” Journal of Irrigation and Drainage Engineering, vol. 135, pp. 25–31, 2009.

    Google Scholar 

  30. J. A. López Riquelme, F. Soto, J. Suardíaz, P. Sánchez, A. Iborra, and J. A. Vera, “Wireless Sensor Networks for precision horticulture in Southern Spain,” Computers and electronics in agriculture, vol. 68, pp. 25–35, 2009.

    Google Scholar 

  31. J. Valente, D. Sanz, A. Barrientos, J. D. Cerro, Á. Ribeiro, and C. Rossi, “An Air-Ground Wireless Sensor Network for Crop Monitoring,” sensors, vol. 11, p. 6088, 2011.

    Google Scholar 

  32. W. S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, and C. Li, “Sensing technologies for precision specialty crop production,” Computers and electronics in agriculture, vol. 74, pp. 2–33, 2010.

    Google Scholar 

  33. S. M. A. El-kader and B. M. M. El-Basioni, “Precision farming solution in Egypt using the wireless sensor network technology,” Egyptian Informatics Journal, vol. 14, pp. 221–233, 2013.

    Google Scholar 

  34. S. E. Díaz, J. C. Pérez, A. C. Mateos, M.-C. Marinescu, and B. B. Guerra, “A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks,” Computers and electronics in agriculture, vol. 76, pp. 252–265, 2011.

    Google Scholar 

  35. FAO. (2014), “Building a common vision for sustainable food and agriculture Principles And Approaches,” Rome, 2014.

    Google Scholar 

  36. A. Chaudhary, “A cluster based wireless sensor network deployment for precision agriculture in dried and arid states of India,” presented at the Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies, Udaipur, Rajasthan, India, 2014.

    Google Scholar 

  37. A. Chaudhary, et al., “Cloud Based Wireless Infrastructure for Health Monitoring,” Cloud Computing Systems and Applications in Healthcare, p. 19, 2016.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Indian Institute of Technology, Roorkee, Roorkee, 247667, India

    Ajay Chaudhary & Sateesh K. Peddoju

Authors
  1. Ajay Chaudhary
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sateesh K. Peddoju
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ajay Chaudhary .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology Microsoft Innovation Centre, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Faculty of Computers and Information, Banha University Faculty of Computers and Information, Banha, Egypt

    Ahmad Taher Azar

  3. Sabar Institute of Technology, Asst. Prof., Dept. of Info. Tech. Sabar Institute of Technology, Gujarat, Gujarat, India

    Amit Joshi

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Chaudhary, A., Peddoju, S.K. (2018). The Role of IoT-Based Devices for the Better World. In: Mishra, D., Azar, A., Joshi, A. (eds) Information and Communication Technology . Advances in Intelligent Systems and Computing, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-5508-9_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5508-9_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5507-2

  • Online ISBN: 978-981-10-5508-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation