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Exploring dynamic RESTful API implementation in IoT environments using Docker.

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This study introduces a new framework for Internet of Things (IoT) device deployment using Dynamic RESTful APIs and Docker. This enhances IoT management, monitoring, and real-time flexibility for scalable solutions.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Embedded Systems

Background:

  • Effective deployment is crucial for maximizing Internet of Things (IoT) capabilities.
  • Current IoT deployment methods face challenges in scalability and adaptability.
  • Managing and monitoring diverse IoT devices requires robust solutions.

Purpose of the Study:

  • To propose and evaluate a novel framework for enhancing IoT device management, monitoring, and deployment.
  • To leverage Dynamic RESTful APIs and Docker containerization for improved IoT infrastructure.
  • To address key IoT deployment challenges like scalability and environmental adaptability.

Main Methods:

  • Developed a framework integrating Dynamic RESTful APIs with Docker containerization.
  • Implemented and tested the framework using ESP8266 NodeMCU and Raspberry Pi devices.
  • Utilized DHT11 sensors for real-time temperature and humidity data collection.
  • Employed HTTP requests for data transfer and storage via Wi-Fi enabled devices.

Main Results:

  • Demonstrated the framework's effectiveness in managing and deploying IoT devices.
  • Showcased reliable interaction and real-time flexibility between IoT devices and infrastructure.
  • Validated the dynamic API's ability to update endpoints without software modification.
  • Confirmed the framework's adaptability to environmental condition changes and scalability.

Conclusions:

  • The proposed framework offers a flexible and adaptable solution for IoT deployment.
  • Dynamic RESTful APIs and Docker significantly enhance IoT management and monitoring.
  • This work provides a foundation for future advancements in scalable IoT solutions.