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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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
University of Electronic Science and Technology China
2016
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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 |
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. |
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