What is it about?

This paper uses Linkit Smart 7688 Duo development board developed by MediaTek as the core of the overall IoT gateway system design, which compares other development boards and IoT gateways on the market. Smart 7688 Duo development board is about 40% lower in price than Raspberry Pi, and the hardware CPU clock is higher than NEXCOM NIO 51 gateway. This implementation provides a low-cost and highly customizable solution that allows system integrators to more effectively provide their customers with the most appropriate IT services. The proposed IoT gateway design utilizes the Linkit Smart 7688 Duo with MIPS and MCU dual-core chip, Arduino development environment and industrial protocol Modbus to design the data transfer of each sensor in the peripheral system. The IoT gateway obtains the sensor data and transmits it to the server using Message Queuing Telemetry Transport (MQTT). The data acquisition accuracy of the developed MCU program was measured with 2 sensors of hydrogen sulfide (H2S) and methane (CH4). The overall system architecture and peripheral systems are designed to realize the IoT gateway taking into account the internal heat dissipation and module wiring, and also the appearance of the chassis is designed to carry the IoT gateway system, so as to achieve a high-quality product prototype that is accurate, economical, and customizable.

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Why is it important?

This implementation provides a low-cost and highly customizable solution that allows system integrators to more effectively provide their customers with the most appropriate IT services.

Perspectives

The IoT gateway obtains the sensor data and transmits it to the server using Message Queuing Telemetry Transport (MQTT). The data acquisition accuracy of the developed MCU program was measured with 2 sensors of hydrogen sulfide (H2S) and methane (CH4).

Yen-Jen Chen
Ming Chi University of Technology

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This page is a summary of: Design and Implementation of Hardware and Peripheral System for IoT Gateway, May 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3543712.3543740.
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