Wireless sensor network for smart power management

Wireless Sensor Network has been widely applied in broad fields in line with current emerging trends, such as automatic control, automated meter reading, power management, etc. Having this system in place provides convenience, increases efficiency and result in well-managed system. The aim of this p...

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Main Author: Rusli, Mohd. Shahrizal
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/12301/6/MohdShahrizalRusliMFKE2009.pdf
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id my-utm-ep.12301
record_format uketd_dc
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic HD28 Management
Industrial Management
HD28 Management
Industrial Management
spellingShingle HD28 Management
Industrial Management
HD28 Management
Industrial Management
Rusli, Mohd. Shahrizal
Wireless sensor network for smart power management
description Wireless Sensor Network has been widely applied in broad fields in line with current emerging trends, such as automatic control, automated meter reading, power management, etc. Having this system in place provides convenience, increases efficiency and result in well-managed system. The aim of this project is to develop a smart power management system using wireless sensor network. The system is developed by using an unlicensed radio frequency (RF) band where communication takes place between the main controller unit and sensor nodes on the basis of current consumption at every node. Each sensor node will sense current consumption of a dedicated device assigned to it. Data acquisition from the main controller is flexible to operate in round robin or interrupt service routine (ISR) manner. Power consumed by each device which is proportionate to the value measured by the sensor node will be calculated at the main controller and stored in a database within the main controller itself. As many sensor nodes can be placed as possible within the distance range of the main controller (40 meters indoor and 120 meters outdoor line-of-sight). Throughout this project, hardware and software development were done concurrently in order to optimize the time consumption. Validation and verification process includes calibration of current sensor used and experimenting current measurement of several electrical appliances, such as 240V – 12V transformer, electric kettle and hair dryer. Measured device activity can be controlled by placing an electromechanical switch to switch the power ON or OFF.
format Thesis
qualification_level Master's degree
author Rusli, Mohd. Shahrizal
author_facet Rusli, Mohd. Shahrizal
author_sort Rusli, Mohd. Shahrizal
title Wireless sensor network for smart power management
title_short Wireless sensor network for smart power management
title_full Wireless sensor network for smart power management
title_fullStr Wireless sensor network for smart power management
title_full_unstemmed Wireless sensor network for smart power management
title_sort wireless sensor network for smart power management
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2009
url http://eprints.utm.my/id/eprint/12301/6/MohdShahrizalRusliMFKE2009.pdf
_version_ 1747814917975572480
spelling my-utm-ep.123012017-09-19T03:31:39Z Wireless sensor network for smart power management 2009-11 Rusli, Mohd. Shahrizal HD28 Management. Industrial Management TK Electrical engineering. Electronics Nuclear engineering Wireless Sensor Network has been widely applied in broad fields in line with current emerging trends, such as automatic control, automated meter reading, power management, etc. Having this system in place provides convenience, increases efficiency and result in well-managed system. The aim of this project is to develop a smart power management system using wireless sensor network. The system is developed by using an unlicensed radio frequency (RF) band where communication takes place between the main controller unit and sensor nodes on the basis of current consumption at every node. Each sensor node will sense current consumption of a dedicated device assigned to it. Data acquisition from the main controller is flexible to operate in round robin or interrupt service routine (ISR) manner. Power consumed by each device which is proportionate to the value measured by the sensor node will be calculated at the main controller and stored in a database within the main controller itself. As many sensor nodes can be placed as possible within the distance range of the main controller (40 meters indoor and 120 meters outdoor line-of-sight). Throughout this project, hardware and software development were done concurrently in order to optimize the time consumption. Validation and verification process includes calibration of current sensor used and experimenting current measurement of several electrical appliances, such as 240V – 12V transformer, electric kettle and hair dryer. Measured device activity can be controlled by placing an electromechanical switch to switch the power ON or OFF. 2009-11 Thesis http://eprints.utm.my/id/eprint/12301/ http://eprints.utm.my/id/eprint/12301/6/MohdShahrizalRusliMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering Asmida binti Ismail, “Powerpoint Remote Control System,” Final Year Undergraduate Project, Universiti Teknologi Malaysia, May 2008 Axel Sikora, Prof. Dr.-Ing. “ZigBee Competitive Technology Analysis,” ZigBee Alliance Deborah Estrin, “Wireless Sensor Networks: Application Driver for Low Power Distributed Systems,” ISPLED‘OI, August 2001, ACM F.L. Lewis, “Wireless Sensor Network,” in Smart Environments: Technologies, Protocols and Applications, 2004 Md. Rezaul Hoque Khan, Roberto Passerone, David Macii, “FZepel: RF-level Power Consumption Measurement (RF-PM) for Zigbee Wireless Sensor Network- Towards Cross Layer Optimization,” IEEE, 2008 Microsoft Visual Basic 6.0 .NET reference manual MikroC PRO for PIC software manual from Mikroelektronika, Inc. Muhammad Ali Mazidi, Rolin D. McKinlay and Danny Causey, “PIC Microcontroller and Embedded Systems Using Assembly and C for PIC18,” Pearson International Edition, Pearson Education, Inc, 2008 MySQL reference manual M. Muthukumar , N. Sureshkumar, MA. Bhadri Narayan, “A Wireless Sensor Network Communication Model for Automation of Electric Power Distribution,” in Proceedings of The 2008 IAJC-IJME International Conference PIC16F877A Data Sheet from Microchip, Inc. PIC18F452 Data Sheet from Microchip, Inc. Pritam Shah, Tahir Shaikh, Kuldeep Ghan and Swati Shilasakar, “Power Management using ZigBee Wireless Sensor Network,” in First International Conference on Emerging Trends in Engineering and Technology, 2008 IEEE Computer Society Ricky Yap Wee Yang, “Multi Agent Mobile Robot Platform – Mybot,” Final Year Undergraduate Project, Universiti Teknologi Malaysia, May 2008 Single Phase, Bi-directional Power/Energy IC from Cirrus Logic, CSLA2CD Hall- effect current sensor datasheet from Honeywell, Inc. Vamsi Paruchuri, Arjan Durresi, “Energy Aware Routing Protocol for HeterogeneousWireless Sensor Networks,” IEEE, 2008 V. Wolmarans, G.P Hancke, “Wireless Sensor Networks in Power Supply Grids,” in IEEE Computer Society, 2007 “XBee™/XBee-PRO™ Series 2 OEM RF Modules,” XBee series 2 manual You Ke, Liu Ruiqiang, Zhang Cuixia, “Work Mode of ZigBee WSN,” in International Conference on Information Management, Innovation Management and Industrial Engineering, 2008