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The Design of a Wi-Fi Enabled Cloud Monitoring Device

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Topics in Energy Management

Tagged Division

Energy Conversion and Conservation

Page Count

14

Page Numbers

23.1181.1 - 23.1181.14

Permanent URL

https://peer.asee.org/22566

Download Count

36

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Paper Authors

biography

Esther T. Ososanya University of the District of Columbia

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Dr. Ososanya is a professor of Electrical and Computer Engineering at the University of the District of Columbia. During her career, Dr. Ososanya has worked for private industry as a circuit development engineer and as a software engineer, in addition to her academic activities. Her Research Interests are in VLSI ASIC design, microcomputer architecture, Embedded Systems design, Biosensors, and Renewable Energy Systems.
Dr. Ososanya has managed and Co-PI several research grants, and has published several technical papers in her field.

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biography

Sasan Haghani University of the District of Columbia

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Dr. Sasan Haghani is an assistant professor at the University of the District of Columbia. He received his M.Sc. and Ph.D. degrees from the University of Alberta, Canada in 2002 and 2007, respectively, where he was the recipient of postgraduate scholarships from the Alberta Ingenuity Fund and the Alberta Informatics Circle of Research Excellence (iCORE). His areas of research interests include design and analysis of diversity systems, spread-spectrum systems and multiple antenna systems.

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Wagdy H Mahmoud University of the District of Columbia

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Abstract

The Design of a Wi-Fi Enabled Cloud Monitoring DeviceCloud computing is increasingly used by corporations for storing digital information. As a result theability to monitor and manage the power consumption of servers in a cloud network is essential.Significant amount of power can be saved by adding monitoring capabilities to the cluster of servers inthe cloud. The need to monitor daily electricity consumption has become increasingly important withthe ever growing demands for energy. Monitoring and quantifying power consumption enablesengineers to notice problems with systems while in operation, and also better plan future systems fromthe data gathered. As a result, power quality (PQ) measurement concepts are evolving frominstantaneous metering to continuous monitoring and recent developments in measurementtechnology make PQ monitoring systems more powerful. This equates to the construction and utilizationof more flexible, compact and intelligent PQ systems. Monitoring can be divided into two aspects,alternating current (AC) and direct current (DC) power. Typically, the monitoring of AC has beenespecially difficult given the inherent dangers of AC power. Further, the development of systems for ACpower monitoring is difficult and cost ineffective. This is complicated by the fact that ultimately, thesensing systems would be required to sample the AC signals, quantify and ensure that the data is sensedby the DC, analog to digital (ATD) ports of the sensor. Another aspect of existing sensor networks is theneed for the base station that receives and processes the sensor information to be tethered to acomputer. This is required to ensure the processing, transmission and storage of the captured data.Given the complexity and cost of the currently available systems, better apparatus would have to bedesigned.The goal of this project was to design, construct and test a monitoring system that is cost-effective,reliable and easily deployable in any environment. The system had to be wireless with a small powerconsumption footprint, and the capability to relay the sensed data to the internet in real-time.Furthermore, the data had to be processed and presented in a web interface. The need for such asystem was evident from the various power related projects engaging the University Center ofExcellence for Renewable Energy: the on-campus Zero-Energy home, the performance monitoring ofSolar/Wind powered street-lights system, and the Hadoop cloud computing power footprint. The paperpresents detailed design of a flexible low-cost Wi-Fi enabled cloud monitoring device by undergraduateelectrical engineering students in capstone senior design project class, and its versatility forperformance monitoring of photovoltaic arrays and power consumptions of household appliances.Keywords: Smart meters, Power monitoring devices, Embedded Systems design, Electrical andComputer Engineering capstone design projects

Ososanya, E. T., & Haghani, S., & Mahmoud, W. H. (2013, June), The Design of a Wi-Fi Enabled Cloud Monitoring Device Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/22566

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