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Paper ID:IJSREM63064

Deployment of An Intelligent Animal Monitoring System Using IOT and WSN

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63064

Volume:

10 |

5 |

May 2026

Pages:

1-16

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63064

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Lavanya B N

Lavanya B N

Electronics and Communication Engineering

Sri Siddhartha Institute of Technology

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Meenakshi N H

Meenakshi N H

Electronics and Communication Engineering

Sri Siddhartha Institute of Technology

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Chandana R

Chandana R

Electronics and Communication Engineering

Sri Siddhartha Institute of Technology

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Kenchamm E

Kenchamm E

Electronics and Communication Engineering

Sri Siddhartha Institute of Technology

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Mentors

M.C Basavaraja

M.C Basavaraja

Electronics and Communication Engineering

Sri Siddhartha Institute of Technology

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Abstract

The deployment of an intelligent animal monitoring system using Internet of Things (IoT) and Wireless Sensor Networks focuses on improving animal health management and environmental monitoring. The system enables continuous observation of animals without manual intervention. It helps in reducing human effort and increasing monitoring accuracy. Real-time data collection ensures better decision-making. The system is designed to provide a reliable and efficient solution. It is suitable for both livestock and wildlife applications. The system uses various sensors to measure parameters such as temperature, humidity, and other health-related indicators. These sensors collect data continuously from the animals and their surroundings. The information gathered helps in identifying any abnormal conditions. Early detection of health issues becomes possible with this approach. The sensor-based system improves overall monitoring efficiency. It reduces the chances of errors compared to manual observation. This ensures better care and management of animals. IoT technology enables remote access to the collected data through connected devices. The sensor data is transmitted to servers or cloud platforms for processing and analysis. Users can monitor the data using mobile or web applications. This allows easy access to real-time information from anywhere. It also helps in making quick decisions during emergencies. IoT ensures seamless communication between system components. This improves the responsiveness of the monitoring system.Wireless Sensor Networks (WSN) play a crucial role in connecting sensor nodes and enabling data transmission. The network eliminates the need for complex wiring and supports easy deployment. It is scalable and can be expanded based on requirements. Energy-efficient communication helps in maintaining long-term operation. The system ensures reliable and stable data transfer. It supports continuous monitoring without interruptions. This makes the system suitable for largescale applications. the intelligent animal monitoring system using IoT and WSN provides a smart and automated solution for animal care. It improves monitoring accuracy and reduces manual effort. The system ensures timely alerts and better management practices. It is cost-effective and adaptable to different environments. The integration of IoT and WSN enhances system performance. This project represents a significant advancement in modern monitoring technologies. It contributes to improved animal safety and welfare.

KEYWORDS

Keywords — Internet of Things (IoT) Wireless Sensor Networks (WSN) Animal Monitoring Health Monitoring Embedded Systems

Cite This Article

Lavanya B N, Meenakshi N H, Chandana R, Kenchamm E, M.C Basavaraja, "Deployment of An Intelligent Animal Monitoring System Using IOT and WSN," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-16, May 2026. https://doi.org/10.55041/IJSREM63064

Full Article/Conclusion

The proposed system successfully demonstrates the use of IoT and Wireless Sensor Networks for efficient animal monitoring. It integrates multiple sensors to track health, environment, and location in real time. The system reduces manual effort and improves accuracy in monitoring. Continuous data collection helps in early detection of issues. This ensures better safety and management of animals. The use of Node-MCU ESP8266 and cloud platforms enables seamless communication and remote access to data. Users can monitor animals from anywhere using mobile or web applications. The alert system provides timely notifications for abnormal conditions. This improves response time and prevents serious problems. Overall, the system enhances decision-making capabilities. The system is designed to be cost-effective, scalable, and energy-efficient for real-world applications. It can be used in farms, wildlife monitoring, and research environments. Despite some limitations like network dependency and sensor maintenance, the system performs reliably. Future improvements can overcome these challenges. This makes the system more robust and adaptable.  In conclusion, the Intelligent Animal Monitoring System offers a smart and modern solution for animal care. It combines technology and automation to improve monitoring efficiency. The system supports sustainable and advanced animal management practices. It has the potential to transform traditional monitoring methods. Thus, it is a valuable contribution to the field of IoTbased solutions. 

References

1.          S. Terence, J. Immaculate, A. Raj, and J. Nadarajan, “Systematic Review on Internet of Things in Smart Livestock Management Systems,” Sustainability, vol. 16, no. 10, Art. 4073, May 2024. doi: 10.3390/su16104073.    2.          S. Montalvan, P. Arcos, P. Sarzosa, R. A. Rocha, S. G. Yoo, and Y. Kim, “Technologies and Solutions for Cattle Tracking: A Review of the State of the Art,” Sensors, vol. 24, no. 19, Art. 6486, Oct. 2024. doi: 10.3390/s24196486.    3.          B. C. Besler et al., “Scoping Review of Precision Technologies for Cattle Monitoring,” Smart Agricultural Technology, Art. 100596, 2024.    4.          L. Schulthess, M. Sonderegger, and R. P. Müller, “A LoRa-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations,” in Proceedings of the 2023 AC Conference, Nov. 2023. doi: 10.1145/3628353.    5.          P. de Freitas Curti, A. C. B. de Almeida, and F. C. L. Fernandes, “Applications of Livestock Monitoring Devices and Machine Learning for Precision Livestock Farming: A Review,” Animals (Open Access), 2023.    6.          B. Jiang, W. Tang, L. Cui, and X. Deng, “Precision Livestock Farming Research: A Global Scientometric Review,” Animals, vol. 13, no. 13, Art. 2096, Jun. 2023. doi: 10.3390/ani13132096.  7.          J. Arshad, A. U. Rehman, M. T. B. Othman et al., “Deployment of Wireless Sensor Network and IoT Platform to Implement an Intelligent Animal Monitoring System,” Sustainability, vol. 14, no. 10, Art. 6249, May 2022. doi: 10.3390/su14106249.    8.          B. R. dos Reis, J. E. Perez, M. E. A. A. Barbosa et al., “A LoRa-Based Sensor Suite for Monitoring Pastured Livestock,” Translational Animal Science, vol. 5, no. 2, txab010, 2021.     9.          M. Lee and S. Seo, “Wearable Wireless Biosensor Technology for Monitoring Cattle: A Review,” Animals, vol. 11, no. 10, Art. 2779, Oct. 2021. doi: 10.3390/ani11102779.    10.       I. Halachmi, M. Guarino, J. Bewley, and M. Pastell, “Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production,” Annual Review of Animal Biosciences, vol. 7, pp. 403–425, 2019. doi: 10.1146/annurev-animal020518-114851.     

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Publication Date

5/12/2026

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Double-Blind Peer Review

Review Rounds: 2

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