Smart Application using MQTT protocol for Industrial IoT and Retail
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Keywords:
MQTT Protocol, Industrial Internet of Things, Internet of Things, IoT, Industry 4.0, Real-time Data AnalyticsAbstract
The advent of Industry 4.0 has propelled the integration of smart technologies into various sectors, with the Industrial Internet of Things (IIoT) playing a pivotal role in revolutionizing processes and operations. This paper introduces a smart application leveraging the Message Queuing Telemetry Transport (MQTT) protocol to enhance connectivity in both industrial and retail settings. The proposed solution capitalizes on MQTT's lightweight and efficient communication model, facilitating seamless data exchange between devices, sensors, and control systems. In the industrial context, the application optimizes manufacturing processes, monitoring equipment performance, and facilitating predictive maintenance through real-time data analytics. In the retail sector, it enables intelligent inventory management, personalized customer experiences, and efficient supply chain coordination. The MQTT protocol ensures low-latency communication, minimizing data transfer delays and contributing to a responsive and agile system. Additionally, the application incorporates advanced security measures to safeguard sensitive data, ensuring the integrity and confidentiality of information exchanged. Case studies and performance evaluations illustrate the practical implementation and benefits of the smart application in real-world scenarios, validating its effectiveness in optimizing processes, reducing downtime, and improving overall operational efficiency.
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Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
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Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
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Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
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