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Analyze an IoT multi-sensor monitoring system using can-bus network for enabling rapid IoT prototyping

Che Zakaria, Aina Afifah (2023) Analyze an IoT multi-sensor monitoring system using can-bus network for enabling rapid IoT prototyping. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Internet of Things (IoT) is widely used and are creating new opportunities for developing innovative application by leveraging on existing and new technologies. Multiple devices are becoming interconnected on developing IoT application. CANbus (Controller Area Network) is one of the options used for networking IoT devices. In the fast-changing IoT world, a prototype is a strategic perspective for executing an IoT proof-of-concept (PoC). However, IoT prototyping is a complex activity for inexperienced developers who have the idea to develop IoT prototype system but do not have electronic background or lack of engineering skills to develop IoT prototype rapidly. Besides that, building a full-fledged product or system required a high cost just to evaluate and test new idea and designs. Addressing that, this project focuses on designing an IoT multi-sensor monitoring system that allows anyone to easily assemble the system independently without an extensive understanding of IoT and electronic concepts. R-IoT allows the user to combine a low-power system on chip Wi-Fi microcontrollers for example ESP32 with an accelerometer, vibration or environmental sensor that is temperature, humidity, light, noise, air pressure, and air quality sensor depending on the prototype’s requirements. Hence, R-IoT helps reduce development time and enables rapid proof-of-concept for IoT applications.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Internet of Things, CANbus, Controller area network, Vibration, Environmental sensor
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Sabariah Ismail
Date Deposited: 16 Jan 2024 07:25
Last Modified: 16 Jan 2024 07:25
URI: http://digitalcollection.utem.edu.my/id/eprint/30552

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