Middleware Architectures for IoT: Enhancing Interoperability and Scalability

This paper proposes a middleware architecture that will help in enhancing the IoT systems’ interoperability, ‎scalability, and security. It consists of a Protocol Translation Layer, Microservices Layer, and Intelligent Load ‎Balancer, and Python and Docker for containerization. The system also consists of a protocol converter ‎between MQTT, CoAP, and HTTP, and assists in distributed data processing. The middleware was tested under ‎different traffic conditions, and it was observed that the middleware has 37. 5% less latency and 66%. 7% higher ‎throughput than the traditional solutions with 50 ms latency and 10,000 messages per second throughput ‎during high traffic. The architecture is extensible and can be applied to large-scale IoT applications, and it ‎has high applicability in real-world applications, but more experiments are needed to optimize the outcome‎.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-06-13
DOI
https://doi.org/10.14419/5ndney78
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Middleware Architectures for IoT: Enhancing Interoperability and Scalability

N. Trivedi, Girish V. Chowdhary
International Journal of Basic and Applied Sciences
Cloud Computing and Resource Management
article

Middleware Architectures for IoT: Enhancing Interoperability and Scalability

N. Trivedi, Girish V. Chowdhary
article en

Abstract

This paper proposes a middleware architecture that will help in enhancing the IoT systems’ interoperability, ‎scalability, and security. It consists of a Protocol Translation Layer, Microservices Layer, and Intelligent Load ‎Balancer, and Python and Docker for containerization. The system also consists of a protocol converter ‎between MQTT, CoAP, and HTTP, and assists in distributed data processing. The middleware was tested under ‎different traffic conditions, and it was observed that the middleware has 37. 5% less latency and 66%. 7% higher ‎throughput than the traditional solutions with 50 ms latency and 10,000 messages per second throughput ‎during high traffic. The architecture is extensible and can be applied to large-scale IoT applications, and it ‎has high applicability in real-world applications, but more experiments are needed to optimize the outcome‎.

International Journal of Basic and Applied SciencesVol. 14(2)
Swami Ramanand Teerth Marathwada University (IN), Sanskriti Samvardhan Mandal (IN)
Openalex Percentile: Top 81%
Cloud Computing and Resource Management
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Middleware Architectures for IoT: Enhancing Interoperability and Scalability — N. Trivedi, Girish V. Chowdhary · International Journal of Basic and Applied Sciences (2025) | TGRS Research Map | TGRS