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Deployment of Wireless Sensor Network and IoT Platform to Implement an Intelligent Animal Monitoring System

Author

Listed:
  • Jehangir Arshad

    (Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan
    These authors contributed equally to this work.)

  • Ateeq Ur Rehman

    (Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan
    These authors contributed equally to this work.)

  • Mohamed Tahar Ben Othman

    (Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia)

  • Muhammad Ahmad

    (Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan)

  • Hassaan Bin Tariq

    (Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan)

  • Muhammad Abdullah Khalid

    (Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan)

  • Muhammad Abdul Rehman Moosa

    (Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan)

  • Muhammad Shafiq

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Habib Hamam

    (Faculty of Engineering, Université de Moncton, Moncton, NB E1A 3E9, Canada
    International Institute of Technology and Management, Libreville BP1989, Gabon
    Spectrum of Knowledge Production & Skills Development, Sfax 3027, Tunisia
    Department of Electrical and Electronic Engineering Science, School of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

This study aimed to realize Sustainable Development Goals (SDGs), i.e., no poverty, zero hunger, and sustainable cities and communities through the implementation of an intelligent cattle-monitoring system to enhance dairy production. Livestock industries in developing countries lack the technology that can directly impact meat and dairy products, where human resources are a major factor. This study proposed a novel, cost-effective, smart dairy-monitoring system by implementing intelligent wireless sensor nodes, the Internet of Things (IoT), and a Node-Micro controller Unit (Node-MCU). The proposed system comprises three modules, including an intelligent environmental parameter regularization system, a cow collar (equipped with a temperature sensor, a GPS module to locate the animal, and a stethoscope to update the heart rate), and an automatic water-filling unit for drinking water. Furthermore, a novel IoT-based front end has been developed to take data from prescribed modules and maintain a separate database for further analysis. The presented Wireless Sensor Nodes (WSNs) can intelligently determine the case of any instability in environmental parameters. Moreover, the cow collar is designed to obtain precise values of the temperature, heart rate, and accurate location of the animal. Additionally, auto-notification to the concerned party is a valuable addition developed in the cow collar design. It employed a plug-and-play design to provide ease in implementation. Moreover, automation reduces human intervention, hence labor costs are decreased when a farm has hundreds of animals. The proposed system also increases the production of dairy and meat products by improving animal health via the regularization of the environment and automated food and watering. The current study represents a comprehensive comparative analysis of the proposed implementation with the existing systems that validate the novelty of this work. This implementation can be further stretched for other applications, i.e., smart monitoring of zoo animals and poultry.

Suggested Citation

  • Jehangir Arshad & Ateeq Ur Rehman & Mohamed Tahar Ben Othman & Muhammad Ahmad & Hassaan Bin Tariq & Muhammad Abdullah Khalid & Muhammad Abdul Rehman Moosa & Muhammad Shafiq & Habib Hamam, 2022. "Deployment of Wireless Sensor Network and IoT Platform to Implement an Intelligent Animal Monitoring System," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6249-:d:820184
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    References listed on IDEAS

    as
    1. Jehangir Arshad & Musharraf Aziz & Asma A. Al-Huqail & Muhammad Hussnain uz Zaman & Muhammad Husnain & Ateeq Ur Rehman & Muhammad Shafiq, 2022. "Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield," Sustainability, MDPI, vol. 14(2), pages 1-20, January.
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    Cited by:

    1. Ridha Ouni & Kashif Saleem, 2022. "Framework for Sustainable Wireless Sensor Network Based Environmental Monitoring," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    2. Qiao Gang & Aman Muhammad & Zahid Ullah Khan & Muhammad Shahbaz Khan & Fawad Ahmed & Jawad Ahmad, 2022. "Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication," Sustainability, MDPI, vol. 14(15), pages 1-23, August.

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