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DM-MQTT: An Efficient MQTT Based on SDN Multicast for Massive IoT Communications
Jun-Hong Park1, Hyeong-Su Kim2, Won-Tae Kim3
1The Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan-si 31253, Korea. astrada1@koreatech.ac.kr.
Sensors (Basel, Switzerland)
|September 15, 2018
Summary
This study introduces a novel MQTT protocol with multicast for Internet of Things (IoT) communications. It significantly reduces data transfer delays and network usage in edge computing environments.
Area of Science:
- Computer Science
- Networking
- Internet of Things (IoT)
Background:
- Centralized cloud computing faces challenges with massive Internet of Things (IoT) device data.
- Standard MQTT (Message Queuing Telemetry Transport) protocol can cause broker traffic congestion and long delays with numerous IoT devices.
- Edge computing requires modified IoT protocols for distributed data analysis.
Purpose of the Study:
- To propose a novel MQTT protocol with a multicast mechanism for efficient massive IoT communications in edge computing.
- To minimize data transfer delay and network usage compared to the standard MQTT protocol.
Main Methods:
- Developed a novel MQTT protocol incorporating a multicast mechanism.
- Utilized bidirectional Software Defined Networking (SDN) multicast trees to bypass the centralized MQTT broker.
- Established direct communication paths between IoT data publishers and subscribers.
Main Results:
- The proposed MQTT protocol reduced transmission delay by 65%.
- Network usage was decreased by 58% compared to the standard MQTT protocol.
- The multicast approach effectively addressed broker congestion issues.
Conclusions:
- The novel MQTT protocol with multicast is an effective solution for massive IoT communications in edge computing.
- This approach significantly improves efficiency by reducing latency and network load.
- SDN-enabled multicast offers a viable alternative to centralized brokers for IoT data distribution.
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