IOT Based Smart Power Management System using WSN

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 783
IOT Based Smart Power Management System Using WSN
Pallavi Ravindra Joshi1, Prof. M S khan2
1M. E Student, Department of ECE, G S Mandal’s MIT COE, Aurangabad, Maharastra, India
2Associate Professor, Department of ECE, G S Mandal’s MIT COE, Aurangabad, Maharastra, India
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Abstract – In this paper, we have reported an effective
implementation for Internet of Things used for monitoring
home appliances. we presents wireless sensor networks based
real time power management system to control and monitor
the power consumption of electrical appliances in a home.
Current sensor and voltage sensor is placed at electrical load
to sense the current and voltage , it calculates the power
consumption of electrical appliances. This data will be
transmitted wirelessly using Zigbee protocol to the Ethernet
shield. The transmitted data is monitored and controlled
remotely using IOT. This enables user to have flexible control
mechanism remotely through a secured internet web
connection. This system helps the user to control the electric
appliances automatically, manually andremotelyusingsmart
phone or personal computer.. This system is very efficient,
cheaper and flexible in operation and thus can save electricity
expense of the consumers.
Key Words: IOT,Energy management,home automation,
wireless sensor network, ZigBee, Ethernet Shield.
1. INTRODUCTION
Electric energy is the main source for the development
and advancement in this technological world . The
technology develops the power requirement and day byday
power demand is increasing . These power demands occur
in both domestic and industrial sectors. According to the
recent Annual Energy report it is observed that residential
electricity demand is forecasted to increase by 24% within
the following several decades, while the global electricity
consumption trend is also reported to be increasing
continuously . Electric Energy demand is increasing and the
fossil fules are diminishing due to rising consumption of
energy. Moreover, the mismatch between demand and
supply and lack of automation and monitoring tools have
already caused major blackouts worldwide Aswehaveseen
that more and more home appliances and consumer
electronics are installed, residential energy consumption
tends to grow very rapidly.
In recent years internet technologies and WSN are
expanding rapidly. Hence home environment has seen a
rapid introduction of network enabled digital technology
which offers new and exciting opportunities to enhance the
connectivity of devices withinthehomeforpurposeof home
automation. For reducing the energy consumptionwireless
sensor networks (WSNs)is widely re commanded for
environmental monitoring,healthmonitoringand industrial
monitoring . WSNs are also highly flexible. Wireless sensor
network (WSN) supports power management using Web
services and middleware technologies.
This system is designed by the integration of WSNs with
Web Service communications to acknowledge the power
management and provide information services using IOT
platform. Energy information is collected from various
wireless devices which operates with different
communication standards. This is very essential as there is
various communication standards developed for WSNs
including ZigBee .The demand of WSNs are increasing
rapidly in the hoses for energy controlling services . With
the help of WSN household appliances are monitored and
controlled by in the home. With the advancement in
information technology provide sensors, metering,
transmission, Distribution, and electricity storage
technology, as well as providing new information and
flexibility to all consumers and providers of electricity.
2. LITERATURE SURVEY
Guangming Song and Aiguo Song presents thedesign and
implementation of a home monitoring system based on
hybrid sensor networks. The system follows a three-layer
architecture which combines hybrid-node networking with
web access. An enhancedsensornodehasbeendesignedand
fabricated to add controlled mobility to wireless sensor
networks. The mobile node is capable of simple planar
motions and is easy to be controlled through different user
interfaces. A test bed including the static nodesaswell asthe
mobile node has also been created for validating the basic
functions of the proposed hybrid sensor network system.
Network repair and event tracking capabilitiesofthemobile
sensor node were tested. Stability of the proposed system in
longtime home monitoring tasks was also verified.
Meng-Shiuan PanandLun-WuYeh proposeda WSN-based
intelligent light control system for indoor environments.
Wireless sensors are responsible for measuring current
illuminations. Two kinds of lighting devices, namely, whole
lighting and local lighting devices, are used to provide
background and concentrated illuminations, respectively.
Users mayhavevariousilluminationrequirementsaccording
to their activities and profiles. An illumination requirement
is as the combination of background and concentrated
illumination demands and users locations. We consider two

requirement models, namely, binary satisfaction and
continuous satisfaction models, and propose two decision
algorithms to determine the proper illuminations of devices
and to achieve the desired optimization goals. Then, a
closed-loop device control algorithm is applied to adjust the
illumination levels of lighting devices. The prototyping
results verify that our ideas are practical and feasible.
Khusvinder Gill and Shuang-Hua proposed A ZigBee
Based Home Automation SystemThis technologyoffersnew
and exciting opportunities to increase the connectivity of
devices within the home for the purpose of home
automation. Moreover, with the rapid expansion of the
Internet, there is the added potential for the remote control
and monitoring of such network enabled devices. However,
the adoption of home automation systems has been slow.
This paper identifies the reasons for this slow adoption and
Evaluates the potential of ZigBee for addressing these
problems through the design and implementation of a
flexible home automation architecture.AZigBeebasedhome
automation system and Wi-Fi network are integrated
through a common home gateway. The home gateway
provides network interoperability,a simpleandflexibleuser
interface, and remote access to the system. A dedicated
virtual home is implemented to cater for the system’s
security and safety needs. To demonstratethefeasibilityand
effectiveness of the proposed system, four devices, a light
switch, radiator valve, safety sensor and ZigBee remote
control have been developed and evaluated with the home
automation system.
Dae-Man Han and Jae-Hyun Lim introduced the home
energy control system design that provides intelligent
services for usersand demonstrateitsimplementationusing
a real testbed. This paper designs smart home device
descriptions and standard practices for demand response
and load management “Smart Energy” applications needed
in a smart energy based residential or light commercial
environment. The control application domains included in
this initial version are sensing device control, pricing and
demand response and load control applications. This paper
introduces smart home interfaces and device definitions to
allow interoperability among ZigBee devices produced by
various manufacturers of electrical equipment, meters, and
smart energy enabling products.
Francesco Benzi and Lucia Frosini reported electricity
Smart Meters Interfacing the Households. They addresses
this topic by proposing the definition of a local interface for
smart meters, by looking at the actual European Union and
international regulations, at the technological solutions
available on the market, and at those implemented in
different countries, and, finally, by proposing specific
architectures for a proper consumer-oriented
implementation of a smart meter network.
Pedro Cheong and Ka-Fai Chang describesa ZigBee-based
wireless sensor network node for the ultraviolet (UV)
detection of flame. The sensor node is composed of a ZnSSe
UV photodetector, a current-sensitive front end including a
high-gain current-to-voltage amplifier with 120 dB and a
logarithm converter, and a transceiveroperatedata 2.4-GHz
industrial, scientific, and medical band. A passive
photodetector is designed to have a cutoff at 360 nm and
convert the UV emission of flame into picoamperes.
Including mixed signal processing and ZigBee transmission,
the speed of flame detection is as fast as 70 ms. The sensor
node consumes only an average of 2.3 mW from a 3.3-V
supply. The performance of a prototype sensor node was
verified when the luminous flame was imaged onto the
sensor node with different angles ranging from −30◦to
30◦and distances of 0.1, 0.2, and 0.3 m enabling effectivefire
safety applications.
Melike Erol-Kantarci and Hussein T. Mouftah reported
Wireless Sensor Networks for Cost-EfficientResidential
Energy Management in the Smart Grid. The performance of
in home energy management (iHEM )is compared with an
optimization-based residential energymanagement(OREM)
scheme whose objective is to minimize the energy expenses
of the consumers. It shows that iHEM decreases energy
expenses, reduces the contribution of the consumers to the
peak load, reduces the carbon emissions of the household,
and its savings are close to OREM. On the other hand, iHEM
application is more flexible as it allows communication
between the controller and the consumer utilizing the
wireless sensor home area network (WSHAN). This paper
evaluate the performance of iHEM under the presence of
local energy generation capability, prioritized appliances,
and for real-time pricing. We show that iHEM reduces the
expenses of the consumers for each case. Furthermore, we
show that packet delivery ratio, delay, and jitter of the
WSHAN improve as the packet size of the monitoring
applications, that also utilize the WSHAN, decreases.
Sean Dieter Tebje Kelly, Nagender Kumar Suryadevara,
and Subhas Chandra Mukhopadhyay reported an effective
implementation for Internet of Things used for monitoring
regulardomestic conditions by means of low costubiquitous
sensing system. The description about the integrated
network architecture and the interconnecting mechanisms
for the reliable measurement of parameters by smart
sensors and transmission of data via internet is being
presented. The longitudinal learning system was able to
provide a self-control mechanism for better operation ofthe
devices in monitoring stage. The framework of the
monitoring system is based on a combination of pervasive
distributed sensing units, information system for data
aggregation, and reasoning and context awareness. Results
are encouraging as the reliability of sensing information
transmission through the proposed integrated network
architecture is 97%.
3. PROPOSED SYSTEM
Current sensor and voltage sensor are interfaced to the
home appliances for measuring electrical parameters of the
appliances. Power consumed by each device is calculated

using measured current and voltage.Thedetailsofthedesign
and development of the proposed system is provided in the
following sections. Fig3.1andFig3.2describesthefunctional
description of developed system. Zigbee module is used to
transmit the electrical parameters data wirelessly, which is
collected from the sensor modules. The zigbee transmitter
are interfaced with various sensingdevicesand reliabledata
reception at a receiver side of zigbee module. The zigbee
receiver has been interfaced through the Serial port of the
Ethernet Shield. The collected data from Ethernet shield
have been sent to LAN by using Wi-Fi Router. The home
appliances can be monitored and controlled remotely. The
controlling operation is performed in three ways. Those are
manual controlling, automatic controlling and Remote
controlling.
1) Automatic control: In automatic control appliances can
be controlled with the help of smart software based on the
electricity tariff conditions .In this mode user can save
electricity by auto switch of appliances after predefined
usage of electricity.
2) Manual control: An on/off switch is provided directlyto
the devices. In this mode user can manually operates the
appliances without following automatic control .Manual
control is very flexible.
3) Remote Control: In remote conrol user can interact with
the appliances remotely with smart phone or personal
computer using secured internet web connection. User can
operates devices when he is away from home. This feature
also reduces manual efforts and time by controlling all
devices from one place.
Fig 3.1: Transmitter Section of Smart Power Management
System
Fig 3.2: Receiver Section of Smart Power Management
System
3.1 ETHERNET SHIELD
The Ethernet Shield is an Arduino-compatible expansion
board ("shield") that gives your Arduino the ability to
communicate as either a client or a server on an Ethernet
network.
3.2 ZIGBEE MODULE
A transmission protocol is used to transmit the collected
data wirelessly. To transmit the data, it should posses low
power consumption, and consistsofmore numberofdevices
in the network and provides large range communication.
Zigbee is an 802.15.4 standard WPAN protocol which
transmits the data to the distance of 100m. It consumes less
power and it can be operated at three different band of
frequencies (2.4GHz, 915MHz, 868MHz).A zigbee network
consists of a coordinator and end devices. It supports
maximum 65,000 devices in a Zigbee network. Its data rate
is 256 kbps. Generally it is suitable for sensing and
controlling applications. In the Zigbee network end devices
are the sensor nodes whichcommunicatewirelesslywiththe
coordinator in the form of mesh topology.
3.3 ROUTER
Router is interfaced with RJ45 Jack controller. It is a
networking device which forwards the data packets
between computer networks. Routers perform the "traffic
directing" functions on the Internet. A data packet is
typically forwarded from one router to another through the
networks that constitute the inter-network until it reaches
its destination node.

3.4 ATMEGA 328
The ATmega 328 is a single chip microcontroller created by
Atmel in the mega AVR family. It is commonly used in
projects and autonomous systems where a simple ,low
powered, low cost microcontroller is needed. perhaps yhe
most common implementation of this chip is he popular
aurduino development platform.
3.5 CURRENT SENSOR
Current sensor is a device that detects electric current in a
wire and generates a signal proportional to it. Here we are
using 1000:1 current transformer. It has high saturation
point, high quality of temperaturestability,high withstandof
voltage range.
4. CONCLUSION
An IOT based smart power management system has been
developed .This system monitors and controls the power
consumption of home appliances automatically, manually,
and remotely by using wireless network. The system is easy
to design and consume less power, and provides at low cost
with portable size. Thus, the real-time monitoring of the
electrical appliances can be viewed through a website. In
future the system can be extended for monitoring the whole
institute, schools, colleges, companies etc.
5. REFERANCES
1. G. Song, Z. Wei, W. Zhang, and A. Song, “A hybrid
sensor network system for home monitoring
applications,” IEEE Trans. Consumer Electron.,vol.
53, no. 4, pp. 1434–1439, Nov. 2007.
2. M. S. Pan, L. W. Yeh, Y. A. Chen, Y. H. Lin, and Y. C.
Tseng, “A WSN based Intelligentlightcontrolsystem
considering user activities and profiles,” IEEE
Sensors J., vol. 8, no. 10, pp. 1710–1721, Oct. 2008.
3. K. Gill, S. H. Yang, F. Yao, and X. Lu, “A zigbee-based
home automation system,” IEEE Trans. Consumer
Electron., vol. 55, no. 2, pp. 422–430,May 2009M.
4. D. Man Han and J. Hyun Lim, “Smart home energy
management system Using IEEE 802.15.4 and
zigbee,” IEEE Trans. Consumer Electron., vol. 56, no.
3, pp. 1403–1410, Aug. 2010.
5. F. Benzi, N. Anglani, E. Bassi, and L. Frosini,
“Electricity smart meters interfacing the
households,” IEEE Trans. Ind. Electron., vol. 58, no.
10,pp. 4487–4494, Oct. 2011.
6. P. Cheong, K.-F. Chang, Y.-H. Lai, S.-K. Ho, I.-K. Sou,
and K.-W. Tam,“A zigbee-based wireless sensor
network node for ultraviolet detection of flame,”
IEEE Trans. Ind. Electron., vol. 58, no. 11, pp. 5271–
5277, Nov.2011.
7. Erol-Kantarci and H. T. Mouftah, “Wireless sensor
networks for cost efficient residential energy
management in the smart grid,” IEEE Trans. Smart
Grid, vol. 2, no. 2, pp. 314–325, Jun. 2011
8. Nagender Kumar Suryadevara, Subhas Chandra
Mukhopadhyay, Sean Dieter Tebje Kelly, and
Satinder Pal Singh Gill „WSN-Based Smart Sensors
and Actuator for Power Management in Intelligent
Buildings” 1083-4435, 2014 IEEE.
BIOGRAPHIES
Ms. Pallavi Ravindra Joshi is ME
final year student of ECE
department of of G S Mandal’s MIT
COE Aurangabad, Maharashtra
,India.
Prof. MR. M S Khan is Associate
Professor at ECE department of G S
Mandal’s MIT COE Aurangabad,
Maharashtra ,India. Area Of
Specialization- Wireless
Communication And Networking

IOT Based Smart Power Management System using WSN

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IOT Based Smart Power Management System using WSN