IoT-based Marine Life Tracking and Pollution Monitoring System

Year : 2025 | Volume : 15 | Issue : 01 | Page : 11-20
    By

    K.C. Nithyasree,

  • M.K. Mukesh,

  • Kalaiselvan,

  • P. Naren Kumar,

  • R. Vedhanth,

  1. Assistant Professor, Department of Computer Science and Engineering (Internet of Things & Computer Science), Manakula Vinayagar Institute of Technology, Puducherry, India
  2. Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
  3. Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
  4. Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
  5. Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India

Abstract

In the contemporary world, marine pollution stands as a significant challenge that has adversely affected oceans over the decades. This issue has been exacerbated by human activities, including the improper disposal of sludge, oil spills, and agricultural runoff entering marine environments without adequate regulatory oversight. The repercussions of ocean pollution are detrimental, impacting marine ecosystems, the environment, and ultimately human health. The Internet of Things (IoT) has emerged as a crucial tool in addressing the pressing issue of marine pollution detection and prevention. By incorporating IoT technologies into marine monitoring systems, a network of sensors, devices, and data analytics can enhance our capacity to identify, track, and respond to pollution incidents effectively. We propose an IoT framework named ‘Smart Computing Sensor’, which utilizes advanced detectors and intelligent computing solutions specifically tailored for the onsite monitoring of microplastics in natural underwater environments. Effective management of marine pollution necessitates the implementation of various strategies, activities, and regulatory measures. A primary focus should be on reducing plastic consumption, as it poses a significant threat to marine life. Governments can guarantee that proper waste disposal systems are in place by implementing efficient management strategies. Additionally, cleanup initiatives are critical; by removing marine debris such as plastic bags, fishing nets, and other waste, we can significantly reduce pollution levels. Comprehensive policy measures are essential in the prevention and control of marine pollution.

Keywords: Marine pollution, oceans, human activities, oil spills, agricultural runoff, marine eco systems Internet of Things (IoT), pollution detection, microplastics, cleanup initiatives

[This article belongs to Journal of Communication Engineering & Systems ]

How to cite this article:
K.C. Nithyasree, M.K. Mukesh, Kalaiselvan, P. Naren Kumar, R. Vedhanth. IoT-based Marine Life Tracking and Pollution Monitoring System. Journal of Communication Engineering & Systems. 2025; 15(01):11-20.
How to cite this URL:
K.C. Nithyasree, M.K. Mukesh, Kalaiselvan, P. Naren Kumar, R. Vedhanth. IoT-based Marine Life Tracking and Pollution Monitoring System. Journal of Communication Engineering & Systems. 2025; 15(01):11-20. Available from: https://journals.stmjournals.com/joces/article=2025/view=201604



References

  1. Afonso-Olivares C, Montesdeoca-Esponda S, Sosa-Ferrera Z, Santana-Rodríguez JJ. Analytical tools employed to determine pharmaceutical compounds in wastewaters after application of advanced oxidation processes. Environ Sci Pollut Res. 2016 Dec; 23(24): 24476–94.
  2. Alam MM, Hamida EB, Rehmani MH, Pathan AS. Wearable wireless sensor networks: Applications, standards, and research trends. In: Emerging Communication Technologies Based on Wireless Sensor Networks: Current Research and Future Applications. Taylor and Francis. Abingdon, United Kingdom; 2016 Apr 5: 59–88.
  3. Ansari TM, Marr IL, Tariq N. Heavy metals in marine pollution perspective-a mini review. J Appl Sci. 2004 Jan 1; 4(1): 1–20.
  4. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M. A view of cloud computing. Commun ACM. 2010 Apr 1; 53(4): 50–8.
  5. Borowik G, Chaczko Z, Jacak W, Łuba T, editors. Computational Intelligence and Efficiency in Engineering Systems. Switzerland: Springer International Publishing; 2015 Mar 10.
  6. Chaczko Z, Kale A, Santana-Rodríguez JJ, Suárez-Araujo CP. Towards an iot based system for detection and monitoring of microplastics in aquatic environments. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). 2018 Jun 21; 000057–000062.
  7. Gkikopouli A, Nikolakopoulos G, Manesis S. A survey on underwater wireless sensor networks and applications. In 2012 IEEE 20th Mediterranean conference on control & automation (MED). 2012 Jul 3; 1147–1154.
  8. Dubinsky ZV, Stambler N. Marine pollution and coral reefs. Glob Change Biol. 1996 Dec; 2(6): 511–26.
  9. Fattah S, Gani A, Ahmedy I, Idris MY, Targio Hashem IA. A survey on underwater wireless sensor networks: Requirements, taxonomy, recent advances, and open research challenges. Sensors. 2020 Sep 21; 20(18): 5393.
  10. Galgani F, Ellerbrake K, Fries E, Goreux C. Marine pollution: Let us not forget beach sand. Environ Sci Eur. 2011 Dec; 23(1): 40(7p).
Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 04/01/2025
Accepted 19/01/2025
Published 05/02/2025
Publication Time 32 Days
Total Visits: 33


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