Skip to main content

Advertisement

Springer Nature Link
Log in

Deployment of sensor nodes for aquaculture in western Godavari delta: results, challenges and issues

  • Original Article
  • Published:
Journal of Reliable Intelligent Environments Aims and scope Submit manuscript

Abstract

In this paper, design and development of a real-time water quality monitoring framework for aquaculture ponds has been presented. This wireless sensor network framework consists of sensor nodes to measure water pH, dissolved oxygen, water temperature, atmospheric temperature and pressure using sensors and transmit this information to the data storage and analysis module. Alerts on physico-chemical parameters of water are made available to the farmers through designed mobile application. The framework has been deployed in two testbeds, namely end-user shrimp farm and an institution pond, for the evaluation of system feasibility and robustness. Statistical analysis of the data collected through the system deployed in these testbeds was conducted, and it was observed that these physico-chemical parameters of water are within range, which depicts that the pond water is suitable for the growth of shrimp and fish. Feedback collected from the end-users (local aquaculture farmers) conveys acceptability of the system by them. Learnings and research challenges observed during system deployment have also been enumerated.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Agrarisch D (2017) Aquaculture Opportunities and Challenges in Andhra Pradesh, India, Rijksdienst voor Ondernemend Nederland. https://edepot.wur.nl/414063. Accessed on 5th July 2019.

  2. Arima M, Asahi T (2016) Development of an autonomous surface station for underwater passive acoustic observation of marine mammals. OCEANS 2016 – Shanghai. doi: 10.1109/OCEANSAP.2016.7485551.

  3. Ayyappan S (2014) National Aquaculture Sector Overview. India. National Aquaculture Sector Overview Fact Sheets. https://www.fao.org/fishery/countrysector/naso_india/en. Accessed on 3 July 2019.

  4. Bal S, Dev J (2017) Study of challenges in sensor node deployment in wireless sensor network. Int J Recent Innovat Trends Comput Commun 5(4):358–364

    Google Scholar 

  5. Belton B, Padiyar A, Ravibabu G, Gopal K (2017) Boom and bust in Andhra Pradesh: development and transformation in India’s domestic aquaculture value chain. Aquaculture 470:196–206. https://doi.org/10.1016/j.aquaculture.2016.12.019

    Article  Google Scholar 

  6. Bhatnagar A, Devi P (2013) Water quality guidelines for the management of pond fish culture. Int J Environ Sci 3(6):1980–2009

    Google Scholar 

  7. Bosma RH, Verdegem MCJ (2011) Sustainable aquaculture in ponds: Principles, practices and limits. Livestock Sci 139:58–68

    Article  Google Scholar 

  8. Chandanapalli SB, Reddy S, Lakshmi RD (2014) Design and deployment of aqua monitoring system using wireless sensor networks and IAR-Kick. J Aquacult Res Dev 5(7):1–10

    Article  Google Scholar 

  9. Chang B, Zhang X (2013) Aquaculture monitoring system based on fuzzy-PID algorithm and intelligent sensor networks. In: CSQRWC

  10. Chen JH, Sung WT, Lin GY (2015) Automated monitoring system for the fish farm aquaculture environment. In: International conference on systems, man, and cybernetics, IEEE

  11. Chen Z, Guo Q, Shi Z (2013) Design of WSN node for water pollution remote monitoring. Telecommun Syst 53:155–162

    Article  Google Scholar 

  12. Cinque M, Coronato A, Testa A, Di MC (2013) A survey on resiliency assessment techniques for wireless sensor networks. 73–80

  13. Cinque M, Coronato A, Testa A (2013) A failure modes and effects analysis of mobile health monitoring systems. In: Elleithy K, Sobh T (eds) Innovations and advances in computer, information, systems sciences, and engineering. Lecture Notes in Electrical Engineering, vol 152. Springer, New York, NY

  14. Encinas C, Ruiz E, Cortez J, Espinoza A (2017) Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture. Wireless Telecommun Sympos (WTS). https://doi.org/10.1109/wts.2017.7943540

    Article  Google Scholar 

  15. Garg B, Chaudhary A (2017) Node deployment technique using wireless sensor networks, International Research Journal of. Int Res J Eng Technol 4(6):359–364

    Google Scholar 

  16. Glasgow HB, Burkholder JM, Reed RE, Lewitus AJ, Kleinman JE (2004) Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry and computing technologies. J Exp Mar Biol Ecol 300:409–448

    Article  Google Scholar 

  17. Golla SB, Muppidi R, Penmetsa R, Popuri R, Tenneti R (2013) Aquaculture and its impact on ground water in East Godavari District Andhra Pradesh, India – a case study. Int Res J Environ Sci 2(10):101–106

    Google Scholar 

  18. Golla SB, Muppidi R, Penmetsa R, Popuri R, Tenneti R (2013) Impact of aquaculture on physico-chemical characteristics of water and soils in the coastal tracts of East and West Godavari Districts, Andhra Pradesh, India. Int J Eng Trends Technol (IJETT) 6(6):313–319

    Google Scholar 

  19. Hua M, Zhao D, Xia X, Zhu Y, Liu X (2010) The design of intelligent monitor and control system of aquaculture based on wireless sensor networks. In: 3rd International Conference on Computer Science and Information Technology, IEEE

  20. Jenkins L (2014) Challenges in deployment of wireless sensor networks. 1–1. Doi: 10.1109/ICIINFS.2014.7036467.

  21. John H, Milica M, Michele M (2012) Underwater sensor networks: applications, advances and challenges. Philos Trans R Soc A Math Phys Eng Sci 370:158–175

    Article  Google Scholar 

  22. Kamisetti SNR, Sadistap SS, Shaligram AD (2012) Smart electronic system for pond management in fresh water aquaculture. In: IEEE symposium on industrial electronics and applications

  23. Kim H, Kang M, Lim Y (2010) A design of wireless sensor networks for a power quality monitoring system. IEEE Sensors. 10(11):9712–9725

    Article  Google Scholar 

  24. Kumar S, Bao S, Singh V, Hallstrom J (2019) Flooding disaster resilience information framework for smart and connected communities. J Reliab Intell Environ 5

  25. Lambrou TP, Anastasiou CC, Panayiotou CG, Polycarpou MM (2014) A low-cost sensor network for real-time monitoring and contamination detection in drinking water distribution systems. IEEE Sens J 14:2765–2772

    Article  Google Scholar 

  26. Liu X, Mohapatra P (2005) On the deployment of wireless sensor nodes. Proc. Sen Metrics pp 78–85

  27. Maulana G, Wiranto DK, Syamsu I, Mahmudin D (2018) Online monitoring of shrimp aquaculture in Bangka island using wireless sensor network. Int J Adv Sci Eng Inf Technol 8(2). ISSN: 2088–5334

  28. Vijayakumar N, Ramya R (2015) The real time monitoring of water quality in IoT environment. In: International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

  29. National Fisheries Development Board (2017) Department of Fisheries. Ministry of Agriculture and Farmer’s Welfare Government of India. https://nfdb.gov.in/about-indian-fisheries.htm

  30. Pai IK (2017) Indian Fisheries Today 3(4):555618. https://doi.org/10.19080/OFOAJ.2017.03.555618

    Article  Google Scholar 

  31. Prasad M, Ramanathan A, Alongi D, Lekha K (2006) Seasonal variations and decadal trends in concentrations of dissolved inorganic nutrients in Pichavaram mangrove waters, Southeast India. Bull Mar Sci 79:287–300

    Google Scholar 

  32. Reddy SRN, Shareef Z (2018) Wireless sensor network for aquaculture: review, survey, and case study of aquaculture practices in western Godavari region. J Ambient Intell Smart Environ 10(5):409–423

    Article  Google Scholar 

  33. Shareef Z, Reddy SRN (2019) Design and wireless sensor network analysis of water quality monitoring system for aquaculture. pp 405–408

  34. Shetty S, Pai RM, Pai MM (2018) Design and implementation of aqua- culture resource planning using underwater sensor wire- less network. Cogent Eng 5:1542576

    Article  Google Scholar 

  35. Simbeye DS, Yang S, Zhao J (2014) Design and deployment of wireless sensor networks for aquaculture monitoring and control based on virtual instruments. Comput Electron Agric 102:31–42

    Article  Google Scholar 

  36. Siris VA, Fotiou N, Mertzianis A et al (2019) Smart application-aware IoT data collection. J Reliable Intell Environ 5:17–28

    Article  Google Scholar 

  37. Sung WT, Chen J-H, Wang HC (2014) Remote fish aquaculture monitoring system based on wireless transmission technology. In: IEEE, international conference on information science, electronics and electrical engineering.

  38. Testa A, Cinque M, Coronato A (2015) Heuristic strategies for assessing wireless sensor network resiliency: an event-based formal approach. J Heuristics 21:145–175

    Article  Google Scholar 

  39. Testa A, Coronato A, Cinque M, Augusto JC (2012) Static verification of wireless sensor networks with formal methods. In: 8th International conference on signal image technology and internet based systems, Naples, 2012, pp 587–594

  40. Valsson S, Bharat A (2011) Impact of air temperature on relative humidity - a study. Available: https://www.coa.gov.in/show_img.php?fid=98. Accessed on Mar 2019

  41. Wang Q, Xu K, Takahara G, Hassanein H (2007) Device placement for heterogeneous wireless sensor networks: minimum cost with lifetime constraints. IEEE Trans Wireless Commun 6(7):2444–2453

    Article  Google Scholar 

  42. Wu M, Zhang X, Wu T (2010) Research on the aquaculture multi parameter monitoring system. In: 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics, IEEE

  43. Xu K, Hassanein H, Takahara G, Wang Q (2010) Relay node deployment strategies in heterogeneous wireless sensor networks. IEEE Trans Mob Comput 9:145–159

    Article  Google Scholar 

  44. Yakubu J, Abdulhamid SM, Christopher HA et al (2019) Security challenges in fog-computing environment: a systematic appraisal of current developments. J Reliable Intell Environ 5:209–233

    Article  Google Scholar 

  45. Younis O, Krunz M, Ramasubramanian S (2006) Node clustering in wireless sensor networks: recent developments and deployment challenges. IEEE Netw 20(3):20–25

    Article  Google Scholar 

  46. Zhang M, Li D, Wang L, Ma D, Ding Q (2011) Design and development of water quality monitoring system based on wireless sensor network in aquaculture. In: Li D, Liu Y, Chen Y (eds) Computer and computing technologies in agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 347. Springer, Berlin

  47. Zhao Y, Sun L, Li MF (2009) The research about detection of dissolved oxygen in water based on C8051F040, In: International conference on information engineering and computer science

  48. Zhu X, Li D, He D, Wang J, Ma D, Li F (2010) A remote wireless system for water quality online monitoring in intensive fish culture. Comput Electron Agric 71(1):3–9

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank our collaborators [Prof. Ramprasad Kalidindi, Mr. Chalapathi Raju, Mr. Gopala Raju PV] at SRKR Engineering College, Bhimavaram, for providing us support for performing survey and implementing the system. We would also like to extend our heartfelt thanks to Intel and DIC [MHRD] for providing prototyping platform to carry out our experiments.

Funding

The project was funded by Intel and Design and Innovation [MHRD] which provided prototyping platform to design and develop the framework.

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Indira Gandhi Delhi Technical University for Women, Kashmere Gate, Delhi, India

    Zeenat Shareef

  2. Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, Kashmere Gate, Delhi, India

    S. R. N. Reddy

Authors
  1. Zeenat Shareef
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. R. N. Reddy
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ZS and SR performed the deployment of the sensor nodes. ZS is the lead writer of the manuscript.

Corresponding author

Correspondence to Zeenat Shareef.

Ethics declarations

Conflict of interest

NA.

Code availability

The system has been designed using both hardware and software tools. Coding has been done in Arduino for each sensor node. The code cannot be disclosed for degree purpose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shareef, Z., Reddy, S.R.N. Deployment of sensor nodes for aquaculture in western Godavari delta: results, challenges and issues. J Reliable Intell Environ 6, 153–167 (2020). https://doi.org/10.1007/s40860-020-00108-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40860-020-00108-z

Keywords