Abstract
The MQTT protocol, which stands for Message Queuing Telemetry Transport, is widely recognized within the IoT community as one of the most frequently utilized communication protocols. Conventional MQTT protocols described in the literature could improve their capacity to support distributed environments and scalability. In this manner, MQTT-ST is an advanced MQTT protocol that provides bridging capabilities within a distributed environment, making it a preferred option for IoT systems. In this study, we introduce a new, intelligent, scalable, and distributed MQTT-ST-based protocol named MQTT-CB. Our approach leverages containers to improve portability, and our protocol is designed with a cloud-based architecture that streamlines deployment. The primary contribution of our research is the integration of intelligent capabilities into the MQTT-ST protocol, utilizing an LSTM (Long Short-Term Memory) network, which is the leading deep learning model. Specifically, our protocol employs predictive algorithms to foresee retransmitted packets, dynamically adjusts the number of brokers in real-time, and reduces the number of brokers when clients are inactive. Our experiments demonstrate that our protocol significantly outperforms conventional MQTT-ST protocol regarding latency between subscribers and publishers. Furthermore, our protocol adapts seamlessly to changes in the publication rate. In summary, we present a cloud-based intelligent MQTT protocol that offers significant advantages over traditional MQTT-ST protocol.
Original language | English |
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Title of host publication | Industrial Networks and Intelligent Systems - 9th EAI International Conference, INISCOM 2023, Proceedings |
Editors | Nguyen-Son Vo, Hoai-An Tran |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 236-254 |
Number of pages | 19 |
ISBN (Print) | 9783031473586 |
DOIs | |
Publication status | Published - 2023 |
Event | 9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023 - Ho Chi Minh City, Viet Nam Duration: 2 Aug 2023 → 3 Aug 2023 |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Volume | 531 |
ISSN (Print) | 1867-8211 |
ISSN (Electronic) | 1867-822X |
Conference
Conference | 9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023 |
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Country/Territory | Viet Nam |
City | Ho Chi Minh City |
Period | 2/08/23 → 3/08/23 |
Bibliographical note
Publisher Copyright:© 2023, © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Funding
Acknowledgements. Muhammed Ra¸sit Erol has received support from The Scientific and Technical Research Council of Turkey (TUBITAK) 2210A-National Scholarship Programme for MSc Students for this paper.
Funders | Funder number |
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Türkiye Bilimsel ve Teknolojik Araştırma Kurumu |
Keywords
- AI
- Cloud
- Container
- IoT
- LSTM
- MQTT
- MQTT-ST