Internet of Things (IoT) Continuity Challenge : Green Energy Power Consumption

Chew, Kim Mey and Yiiong, Siew Ping and Nancy, Bundan and Gary Loh, Chee Wyai and Syvester Tan, Chiang Wei (2021) Internet of Things (IoT) Continuity Challenge : Green Energy Power Consumption. In: 2021 IEEE International Conference on Sensors and Nanotechnology (SENNANO), 22-24 September 2021, Port Dickson.

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Official URL: https://ieeexplore.ieee.org/document/9642656

Abstract

The Internet of Things (IoT) has been gaining the attention of various sectors since the promotion in 1990. Billions of physical devices across the globe are connected to the Internet, gathering and sharing all data. The top five challenges have been streamlined as "5C". This study was conducted to address the challenge of "continuity". This research proposed an energy consumption study on the developed solar battery-based IoT water pressure meter. The proposed device has been developed on the basis of the IoT architecture consisting of a perception layer, a network layer and an application layer. Two types of network connectivity have been used: Global System Mobile (GSM) communication and Wi-Fi communication. Two experimental test cases were performed to the study of power consumption. The data collected in the first test case serves as primitive data (indoor) and the second test case serve as comparative data (outdoor). The viability of the battery was examined and presented. The results demonstrated the prolonging of battery life with the improvement on software framework and the increase in the charging rate of solar panels.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Internet of Things (IoT), power consumption, green energy, solar power..
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Kim Mey
Date Deposited: 30 Aug 2024 02:27
Last Modified: 30 Aug 2024 02:27
URI: http://ir.unimas.my/id/eprint/45888

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