Development of Wi-Fi based home energy monitoring system for green internet of things

Green Internet of things (IoT) has been heralded as the “next big thing” waiting to be realized in energy-efficient ubiquitous computing. Green IoT revolves around increased machine-to-machine communications and encompasses energy-efficient wireless embedded sensors and actuators that assist in...

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Bibliographic Details
Main Authors: Habaebi, Mohamed Hadi, Ashraf, Qazi Mamoon, Bin Azman, Ami Alif, Islam, Md. Rafiqul
Format: Article
Language:English
English
Published: University of Electronic Science and Technology China 2016
Subjects:
Online Access:http://irep.iium.edu.my/53168/1/249-25676057.pdf
http://irep.iium.edu.my/53168/7/53168_Development%20of%20Wi-Fi%20based_Scopus.pdf
http://irep.iium.edu.my/53168/
http://www.journal.uestc.edu.cn/journal/archive_scanning.php?volume=14&issue=3&year=2016
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
Description
Summary:Green Internet of things (IoT) has been heralded as the “next big thing” waiting to be realized in energy-efficient ubiquitous computing. Green IoT revolves around increased machine-to-machine communications and encompasses energy-efficient wireless embedded sensors and actuators that assist in monitoring and controlling home appliances. Energy efficiency in home applications can be achieved by better monitoring of the specific energy consumption by the appliances. There are many wireless standards that can be adopted for the design of such embedded devices in IoT. These communication technologies cater to different requirements and are classified as the short-range and long-range ones. To select the best communication method, this paper surveys various IoT communication technologies and discusses the advantages and disadvantages to develop an energy monitoring system. An IoT device based on the Wi-Fi technology system is developed and tested for usage in the home energy monitoring environment. The performance of this system is then evaluated by the measurement of power consumption metrics. In the efficient deep-sleep mode, the system saves up to 0.3 W per cycle with an average power dissipation of less than 0.1 W/s.  Index Terms Energy efficiency, energy monitoring, Internet of things.