Microservice architecture for a remote management platform for pastured poultry farming using Amazon Web Services and wireless mesh sensor networks

• Gonzalez, Joseph ^[1] ; Villarreal, Vladimir ^[1] ; Muñoz, Lilia ^[1]
  1. [1] Universidad Tecnológica de Panamá

     Universidad Tecnológica de Panamá

     Panamá

     
• Localización: Ingeniería Solidaria, ISSN-e 2357-6014, Vol. 19, Nº. 1, 2023
• Idioma: inglés
• DOI: 10.16925/2357-6014.2023.01.02
• Títulos paralelos:
  • Arquitectura de microservicios para una plataforma de gestión remota para la cría de aves en pastoreo utilizando Amazon Web Services y redes inalámbricas de sensores de malla
• Enlaces
  • Texto completo
• Resumen
  • español

    Introducción: arquitectura de microservicios para una plataforma de gestión remota para la avicultura en pastoreo utilizando Amazon Web Services y redes inalámbricas de sensores de malla, Universidad Tecnológica de Panamá, 2023.

    Problema: las tecnologías de ganadería de precisión (PLF) ayudan a la gestión de las industrias de producción animal, como el uso de redes de sensores inalámbricos (WSN) en la cría de aves de corral. Los sistemas actuales basados en WSN para la cría de aves de corral carecen de arquitecturas de software sólidas pero flexibles para garantizar la integridad y la entrega adecuada de los datos.

    Objetivo: diseñar una arquitectura de software basada en microservicios (MSA) para un sistema de gestión ambiental remota basado en Wireless Mesh Sensor Networks (WMSN) para aves en pastoreo.

    Metodología: se realizó una revisión de MSA para la cría de animales para sintetizar los factores clave considerados en el proceso de diseño del flujo de datos del sistema, la definición de microservicios y la selección de tecnología del sistema de monitoreo ambiental.

    Resultados: se desarrolló un MSA en la nube con esquema multicapa utilizando la plataforma Amazon Web Services (AWS), validando la persistencia de datos ambientales de nodos prototipo WMSN para ser desplegados en gallineros móviles.

    Conclusión: definir un flujo de datos End-to-End facilita la organización de tareas por dominio, permitiendo una comunicación eficiente de eventos entre componentes y confiabilidad de la red tanto a nivel de hardware como de software.

    Originalidad: este estudio presenta un diseño novedoso para un sistema de monitoreo ambiental remoto basado en WMSN para cooperativas móviles utilizadas en aves de pastoreo y una plataforma de administración en la nube MSA de varias capas para esta industria.

     

  • English

    Introduction: A variety of innovative solutions known as Precision Livestock Farming (PLF) technologies have been developed for the management of animal production industries, including Wireless Sensor Networks (WSN) for poultry farming.

    Problem: Current WSN-based systems for poultry farming lack the design of robust but flexible software architectures that ensure the integrity and proper delivery of data.

    Objective: Designing a microservice-based software architecture (MSA) for a multiplatform remote environmental management system based on Wireless Mesh Sensor Networks (WMSN) to be deployed in pastured poultry farming spaces.

    Methodology: A review about MSAs designed for animal farming was conducted, to synthesize key factors considered for the design process of the system data flow, microservice definition and the environmental monitoring system technology selection.

    Results: A cloud MSA with a multi layered scheme using the Amazon Web Services (AWS) platform was developed, validating the persistence of environmental data transmitted from WMSN prototype nodes to be deployed in mobile chicken coops.

    Conclusion: Defining an End-to-End data flow facilitates the organization of tasks by domains, allowing efficient event communication between components and network reliability both at the hardware and software levels.

    Originality: This study presents a novel design for a remote environmental monitoring system based on WMSN for mobile coops used in pastured poultry and a multi layered MSA cloud management platform for this specific type of food production industry.

    Limitations: Software architecture technology selection was based only on services offered, to the date of the study, in the free tier of the Amazon Web Service platform.

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