![Wireless Intrusion Detection System Using
Wireless Sensor Network: A Conceptual
Framework
Prashant Kharat
Walchand College of Engineering, Sangli, India
Email: prashant.kharat@walchandsangli.ac.in
Jayashree Kharat
DKTE’s, TEI, Ichalkaranji, India
Email: jayashree2k2@gmail.com
Abstract—Intrusion Detection System, as the name suggests
is such an arrangement whereby any unauthorised access to
private premises can be monitored closely. This paper
suggests the development of a system which ameliorates the
traditional way of fencing to avoid in filtration. The system
comprises of Infra Red (IR) transceiver for continuous
surveillance of the enclosure. An intrusion subsequently
disturbs the IR beams and generates a signal which triggers
the camera and associated entities like hooter and spotlight.
The camera captures still sand records a video as soon as the
intrusion occurs. These images and video along with the
location of the intrusion are sent to the central control
station through the dual-radio board for the authorities to
take actions efficiently. Area of application mainly include
large storage premises or agricultural land where safety of
the goods is a major concern and this system can be
deployed as the primary hurdle for intruders besides the
traditional way of fencing with bar bed wires.
Index Terms—intrusion detection, infra-red, transreceiver,
central control unit
I. INTRODUCTION
This is the era of information technology and everyone
has access to information. Lives of human beings are all
deviated and they can access the benefits of cutting edge
technologies. Wireless Intrusion Detection System is used
as a second level protection for protecting the perimeter
of a sensitive area already guarded by an existing
boundary wall. It can generate immediate alert on
detection of unwanted intrusion through jumping over the
wall [1], [2].
The proposed wireless intrusion detection system will
detect intrusion automatically, through multi-level
detection mechanism (IR sensor & camera) and will
generate multi-level alert (buzzer, images, segment
illumination, SMS) to notify security officers, owners and
also illuminate the particular segment where the intrusion
Manuscript received November 1, 2013; revised January 11, 2014.
happened. This system will enable the authority to
quickly handle the emergency through identification of
the area of incident at once and to take action quickly.
II. LONG RANGE PASSIVE IR SENSORS
Passive IR sensors are used in object detection due to
their specific properties. Passive IR sensor can operate
both during the day and night. These sensors operating
within visible and infrared radiation they can operate
properly in the conditions of limited visibility (e.g.in a fog
or smoke area). Passive sensors are undetectable devices
different from active systems. They are safe for service
personnel, for eyes and environment.
A. Operating Principle
The collecting optics of passive sensor is decisive for
quality of device operation as well as effects quantity and
spectral composition of the radiation focused on a
detector. The detector integrates optical signal over its
surface and time and next converts it into electrical signal.
However it is simultaneously a source of noise. Electrical
systems for signal conversion amplify and filter the signal
that is next analysed by automated decisive system.
Frequency and noise characteristics of electronics system
influence on correctness of final analysis of the signal, the
result of which is decision about object detection. For the
objects smaller than the field of the view of the optical
sensor system, signal to noise ratio decreases with square
of the distance between object and sensor.
Passive radiation sensors used for detection of people
crossing optical barrier have optimal range of operation in
long wavelength detection band (8-12micro-meter). Long
wavelength detection band is chosen also due to
significantly lower intensity of reflected solar radiation in
this spectral window comparing to the 3-5micro-meter
spectral band. Because of low temperature contrast of the
object and high probability of false alarms, resulting from
fluctuation from background radiation, it is necessary to
use two element pyroelectric detectors operating in a
80
International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014
©2014 Engineering and Technology Publishing
doi: 10.12720/ijeee.2.2.80-84](https://image.slidesharecdn.com/wirelessintrusiondetectionsystemusingwsn-250208072217-82a9290f/85/Wireless-Intrusion-Detection-System-Using-WSN-pdf-1-320.jpg)
![differential system. Application of optical filters cutting
of radiation of wavelength shorter than 8 micro-meters
significantly decreases the level of false alarms.
Figure 1. Deploying procedure
Fig. 1 shows Infrared sensors are available invarious
forms it can be an emitter and detector by itself operating
at the same wavelength, a emitter and detector housed in
the same unit or a like a photoelectric sensor which works
with reflective surfaces. The major categories of infrared
sensor are retro-reflective sensors, diffuse reflection
sensor and through beam sensors. Each of these sensors
has its own advantage based on the application it is being
used for. A through beam works great in assembly lines
and in close ranges. A retro-reflective is really durable
and works well where there are harsh environment. A
diffuse reflective is useful where only partial light is
reflected back. [3]
B. Applications
Possible uses of the ABE-250 infrared access
control/security system are many, ranging from notifying
store operators that a customer has entered the store,
home or commercial security system detector, to
manufacturing process control.
For detection of objects, count people passing through
an entry gate, or objects moving over a conveyor etc. [4]
C. Features
Infra red system AES-250 is pre-assembled and
easy to install.
Provision for external power supply with battery
backup.
Multiple mounting options.
High cover detecting distance outdoor 250m and
indoor 750m.
Three photoelectric beam transmitter & receiver
units.
Beams blocked detection mode.
Very high response time approx 50-70msec.
Power and voltage DC12~24V, AC11~18V.
D. Specifications
Detection type: through beam (long–range)
Power supply: 10Vto30VDC
Beam sensing range:
800ft (250m) outdoors
2300ft (750m) indoors
Detection method: simultaneous breaking of three
IR beams.
Response time: 50ms to 700ms
Alarm out put relay: NC/NO 1A, 120Vac
Tamper relay: NC1A, 120Vac
Power transmit indicator.
Level: Indicators turns on when the beam align
presents. Specific alignment accuracy refers to
signal strength receiving indicator.
Alarm: The indicator turns on when the alarm
presents.
Good: the green indicator turns on when the beam
aligns with the receiver.
If fails to align, the indicator will be off.
Alignment laser wavelength: visible 650nm.
Laser output power: 5mw max.
IP rating: IP55
Photoelectric beam alignment range:
Horizontal:±
90°
Vertical:±
15°
Operating temperature:- 13°
F to +131°
F (-
25°
Cto+55°
C)
Duration audio signal: about 1sec. For chime,
30sec. For alarm.
Timer adjustable: 3-30sec. Before alarm activation.
E. Technical Parameters
Following Table I shows technical parameters of
infrared sensor required in proposed application.
TABLE I. TECHNICAL PARAMETERS
Model 50 100 150 200 250
Alert distance
Outdoor 50m 100m 150m 200m 250m
Indoor 150m 300m 450m 600m 750m
No.Ofbeams 3beams
Detection mode 3beamsblockedsimultaneous
Optical source Infrared digital pulse beam
Response speed 50~700mmsecadjustable
Alarm output
Relay contact output:NO,NC
contactrating:AC/DC30V0.5Amax
Power supply DC 13.8 ~ 24 V AC11~18VP≥15W
Power consumption 70mAmax.80mAmax.90mAmax. 100mAmax.
Operation temperature
and humidity
-25º
C~55º
C 5%RH(Relative humidity)
Tamper output Contactoutput:NCcontactratingDC24V0.5mAmax
Optical axis
adjustment(H)
±
180º
(±
90º
)
Optical axis
adjustment(V)
20º
(±
10º
)
Viewfinder Detachable
Protection against dew,
frost
Calefaction housing(optional)
Material PCresin
Gross 2000g
F. Beam Alignment
Voltage test method:
Remove the cover and connect power.
Adjust the beam frequency of transmitter and
receiver to the same channel.
Observe the collimation effect at a distance of 5cm
from the viewfinder. Adjust the upper/lower angle
regulation screw and horizontal adjustment wheel
inorder that the image of opposite detector falls
into the central part of viewing hole.
81
International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014
©2014 Engineering and Technology Publishing](https://image.slidesharecdn.com/wirelessintrusiondetectionsystemusingwsn-250208072217-82a9290f/85/Wireless-Intrusion-Detection-System-Using-WSN-pdf-2-320.jpg)
![installation and operation Remote control pan & tilt
camera–PAN:270°and Tilt:120°
.
Two way audio monitoring.
Nine squares system/Quadra system/single system
screen monitor-Connecting up to 9 IP cameras for
system monitoring.
Motion detection–Automatically captures moving
objects, and send captured video or snapshot file to
your assigned email address or FTP.
Alarmfunction–
Motiondetectionalarm,andexternalinput/outputalarm
ssuchasPIRmotiondetector,smokedetector,gasdetect
oretc.
Viewing/Recording-Clear user interface to view
real-time pictures. Even when you leave for a
while, IP camera will record the pictures and
transfer files to your PC. Files will be saved in the
form of standard windows media, suitable for
extensive application program.
Easy installation-IP CAMERA is an independent
system, with built-in CPU and picture decoder. Just
one power adapter and LAN connection can make
it work.
Multi form protocols-TCP/IP network protocol,
SMTP protocol, HTTP protocol and other
protocols related to internet.
Simple configuration-With standard web browser
in administrator interface.
Administrator can control and manage IP Camera
by LAN or Internet.
Dynamic Monitoring–Capturing any tiny pictures
and sends to your mailbox. IP camera will
automatically compare the two continuous pictures
and find out the changes caused by moving.
Following Fig. 4 shows camera can also take part in a
multi camera network application.
Figure 4. Multi camera network application.
IV. FUNCTIONING OF SOFTWARE INVOLVED
Let us look at the proto type of the software that has to
be developed for integration of the components and
efficient working of the system. The central server is
always highly secured and the administrator can access it
with a user-id and password which has to be entered in
the login page. After logging in a map of the entire
premises guarded with the IR sensors is displayed in a
console and the beacons indicate the intrusion. Each
beacon represents a unique position, which is equipped
with the entire arrangement. Red indicates intrusion and
Green indicates no intrusion. The current or real time
view of the position scan be monitored by clicking on the
irrespective positions in the interactive map. [5]
In case of intrusion, the beacon turns red and on
clicking on the position, the exact details like date and
time of intrusion, the related videos and snapshots of the
intrusion can be obtained. After the intrusion, the dual
radio sends the SMS and MMS to the central server.
Upon receiving the information, a separate window pops-
up with the provision of sending the MMS to the
user/owner of the premises manually. A SMS is also sent
to the owner besides the central server.
In case of malfunctioning or failure of any of the
components, a pop up is automatically generated from the
respective positions with the details of the faults and a
reminder is set until their repair or replacement is
accomplished. [6]
V. PROPOSED SYSTEM WORKING PRINCIPLE
The perimeter of the boundary wall is segmented into
multiple straight-line segments of length <=200 meters.
The following Fig. 5 illustrates ten-segment intrusion
detection system. Then, each segment is protected against
intrusion using a pair of Wireless Intrusion Detection
units. There is no limit to the number of segments that can
be used to protect a long boundary wall.
Suppose there is a ten-segment intrusion detection
system as shown in Fig. 1 it includes ten Wireless
Intrusion Detection units, wireless routers for data
communication to a remote computer (central security
office) and software at central security office for
visualization, report generation and data analysis.[7]
Figure 5. Wireless infrared intrusion detection systemschematic
One segment of Wireless Intrusion Detection system
consists of infra-red receiver and infra-red transmitter one
infra-red sensor unit in separate mounting stands. Each
mounting stand also includes a halogen light and a buzzer
83
International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014
©2014 Engineering and Technology Publishing](https://image.slidesharecdn.com/wirelessintrusiondetectionsystemusingwsn-250208072217-82a9290f/85/Wireless-Intrusion-Detection-System-Using-WSN-pdf-4-320.jpg)
![for alert generation. Additionally, an outdoor camera may
be used for each segment to capture snapshots of the
event as soon as any intrusion is detected. Each segment
can realize a straight-line fencing of length <=200 meters.
Each mounting unit (Tx and Rx for IR) will also include a
wireless tag to send the intrusion signal wirelessly to
control station and hooter, spot light and (an optional)
camera for alert generation. [8]
Figure 6. Proposed wireless intrusion detection system.
Central security office is nothing but remote control
station with wireless receiver for getting intrusion
location information from wireless tag attached to the
intrusion detection unit. GSM/GPRS modem is used to
send automatic SMS to preset mobile numbers and
software to capture snap-shots of affected area. [9]
VI. CONCLUSION AND FUTURE WORK
This proposal has resulted in the development of an
effective, low-cost wireless intrusion detection system.
The device and the RFID tags used to instrument the
environment are inconspicuous and low cost. As soon as
the routing and the communication between control
station and user works, new opportunities may arise to
make the system viable for people with special
requirements. Future work will be solving problem of
false alarm. [10]
REFERENCES
[1] S. Roy, Anurag D, and S. Bandyopadhyay, "Testbed
implementation of a pollution monitoring system using wireless
sensor network for the protection of public spaces," International
Journal of Business Data Communications and Networking, vol. 5,
no. 4, Oct-Dec, 2009.
[2] S. Bandyopadhyay, S. Roy, and M. Pal, “
Ubiquitous computing for
improving industrial safety and security management,” in Proc.
Ubicomp-India 2010, C-DAC, Chenai, 29th & 30th January 2010.
[3] S. Roy, S. Bandyopadhyay, M. Das, S. Batabyal, and S. Pal, "Real
time traffic congestion detection and management using active
RFID and GSM technology," presented at the 2010 International
Conference on Intelligent Transport Systems Telecommunications,
Kyoto, Japan, 9-11 November 2010.
[4] K. Rajawat, A. Cano, and G. B. Giannakis, “Network-compressive
coding for wireless sensors with correlated data,” IEEE
Transactions on Wireless Communications, vol. 11, no. 12,
December 2012.
[5] G. J. Chen, V. Dwyer, I. Krikidis, J. S. Thompson, S. McLaughlin,
and J. Chambers, “Relay selection for secure cooperative networks
with jamming,” IEEE Transactions on Wireless Communications,
vol. 11, no. 6, June 2012.
[6] G. Middleton, B. Aazhang, and J. Lilleberg, “A flexible framework
for polynomial-time resource allocation in streaming multiflow
wireless networks,” IEEE Transactions on Wireless
Communications, vol. 11, no. 3, March 2012.
[7] J. M. Chung, S. Moon, and M. Kim, “Broadcast scheduling for
wireless mesh networks based on transmission demand,” IEEE
Transactions on Wireless Communications, vol. 12, no. 2,
February 2013.
[8] Wireless Network Security, NIST, Technology Administration US
Department of Commerce.
[9] H. Madura, Z. Sikorski, H. Polakowski, and M. Kastek, Institute of
Optoelectronics, Military University of Technology, 2 Kaliskiego
Str., 00-908 Warsaw.
[10] K. Mandal1, A. Sen, A. Chakraborty, S. Roy, S. Batabyal, and S.
Bandyopadhyay, “Road traffic congestion monitoring and
measurement using active RFID and GSM technology,”
JayashreeKharat, Assistant Professor in
Department of Electronics Engineering,
DKTE’s TEI, Ichalkaranji. Research interest is
inVLSIdesign.
PrashantKharat, Assistant Professor in
Department of Information Technology,
Walchand College of engineering, Sangli.
Research interest is in wireless networks and
security.
84
International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014
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Wireless Intrusion Detection System Using WSN.pdf
- 1. Wireless Intrusion Detection System Using Wireless Sensor Network: A Conceptual Framework Prashant Kharat Walchand College of Engineering, Sangli, India Email: prashant.kharat@walchandsangli.ac.in Jayashree Kharat DKTE’s, TEI, Ichalkaranji, India Email: jayashree2k2@gmail.com Abstract—Intrusion Detection System, as the name suggests is such an arrangement whereby any unauthorised access to private premises can be monitored closely. This paper suggests the development of a system which ameliorates the traditional way of fencing to avoid in filtration. The system comprises of Infra Red (IR) transceiver for continuous surveillance of the enclosure. An intrusion subsequently disturbs the IR beams and generates a signal which triggers the camera and associated entities like hooter and spotlight. The camera captures still sand records a video as soon as the intrusion occurs. These images and video along with the location of the intrusion are sent to the central control station through the dual-radio board for the authorities to take actions efficiently. Area of application mainly include large storage premises or agricultural land where safety of the goods is a major concern and this system can be deployed as the primary hurdle for intruders besides the traditional way of fencing with bar bed wires. Index Terms—intrusion detection, infra-red, transreceiver, central control unit I. INTRODUCTION This is the era of information technology and everyone has access to information. Lives of human beings are all deviated and they can access the benefits of cutting edge technologies. Wireless Intrusion Detection System is used as a second level protection for protecting the perimeter of a sensitive area already guarded by an existing boundary wall. It can generate immediate alert on detection of unwanted intrusion through jumping over the wall [1], [2]. The proposed wireless intrusion detection system will detect intrusion automatically, through multi-level detection mechanism (IR sensor & camera) and will generate multi-level alert (buzzer, images, segment illumination, SMS) to notify security officers, owners and also illuminate the particular segment where the intrusion Manuscript received November 1, 2013; revised January 11, 2014. happened. This system will enable the authority to quickly handle the emergency through identification of the area of incident at once and to take action quickly. II. LONG RANGE PASSIVE IR SENSORS Passive IR sensors are used in object detection due to their specific properties. Passive IR sensor can operate both during the day and night. These sensors operating within visible and infrared radiation they can operate properly in the conditions of limited visibility (e.g.in a fog or smoke area). Passive sensors are undetectable devices different from active systems. They are safe for service personnel, for eyes and environment. A. Operating Principle The collecting optics of passive sensor is decisive for quality of device operation as well as effects quantity and spectral composition of the radiation focused on a detector. The detector integrates optical signal over its surface and time and next converts it into electrical signal. However it is simultaneously a source of noise. Electrical systems for signal conversion amplify and filter the signal that is next analysed by automated decisive system. Frequency and noise characteristics of electronics system influence on correctness of final analysis of the signal, the result of which is decision about object detection. For the objects smaller than the field of the view of the optical sensor system, signal to noise ratio decreases with square of the distance between object and sensor. Passive radiation sensors used for detection of people crossing optical barrier have optimal range of operation in long wavelength detection band (8-12micro-meter). Long wavelength detection band is chosen also due to significantly lower intensity of reflected solar radiation in this spectral window comparing to the 3-5micro-meter spectral band. Because of low temperature contrast of the object and high probability of false alarms, resulting from fluctuation from background radiation, it is necessary to use two element pyroelectric detectors operating in a 80 International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014 ©2014 Engineering and Technology Publishing doi: 10.12720/ijeee.2.2.80-84
- 2. differential system. Application of optical filters cutting of radiation of wavelength shorter than 8 micro-meters significantly decreases the level of false alarms. Figure 1. Deploying procedure Fig. 1 shows Infrared sensors are available invarious forms it can be an emitter and detector by itself operating at the same wavelength, a emitter and detector housed in the same unit or a like a photoelectric sensor which works with reflective surfaces. The major categories of infrared sensor are retro-reflective sensors, diffuse reflection sensor and through beam sensors. Each of these sensors has its own advantage based on the application it is being used for. A through beam works great in assembly lines and in close ranges. A retro-reflective is really durable and works well where there are harsh environment. A diffuse reflective is useful where only partial light is reflected back. [3] B. Applications Possible uses of the ABE-250 infrared access control/security system are many, ranging from notifying store operators that a customer has entered the store, home or commercial security system detector, to manufacturing process control. For detection of objects, count people passing through an entry gate, or objects moving over a conveyor etc. [4] C. Features Infra red system AES-250 is pre-assembled and easy to install. Provision for external power supply with battery backup. Multiple mounting options. High cover detecting distance outdoor 250m and indoor 750m. Three photoelectric beam transmitter & receiver units. Beams blocked detection mode. Very high response time approx 50-70msec. Power and voltage DC12~24V, AC11~18V. D. Specifications Detection type: through beam (long–range) Power supply: 10Vto30VDC Beam sensing range: 800ft (250m) outdoors 2300ft (750m) indoors Detection method: simultaneous breaking of three IR beams. Response time: 50ms to 700ms Alarm out put relay: NC/NO 1A, 120Vac Tamper relay: NC1A, 120Vac Power transmit indicator. Level: Indicators turns on when the beam align presents. Specific alignment accuracy refers to signal strength receiving indicator. Alarm: The indicator turns on when the alarm presents. Good: the green indicator turns on when the beam aligns with the receiver. If fails to align, the indicator will be off. Alignment laser wavelength: visible 650nm. Laser output power: 5mw max. IP rating: IP55 Photoelectric beam alignment range: Horizontal:± 90° Vertical:± 15° Operating temperature:- 13° F to +131° F (- 25° Cto+55° C) Duration audio signal: about 1sec. For chime, 30sec. For alarm. Timer adjustable: 3-30sec. Before alarm activation. E. Technical Parameters Following Table I shows technical parameters of infrared sensor required in proposed application. TABLE I. TECHNICAL PARAMETERS Model 50 100 150 200 250 Alert distance Outdoor 50m 100m 150m 200m 250m Indoor 150m 300m 450m 600m 750m No.Ofbeams 3beams Detection mode 3beamsblockedsimultaneous Optical source Infrared digital pulse beam Response speed 50~700mmsecadjustable Alarm output Relay contact output:NO,NC contactrating:AC/DC30V0.5Amax Power supply DC 13.8 ~ 24 V AC11~18VP≥15W Power consumption 70mAmax.80mAmax.90mAmax. 100mAmax. Operation temperature and humidity -25º C~55º C 5%RH(Relative humidity) Tamper output Contactoutput:NCcontactratingDC24V0.5mAmax Optical axis adjustment(H) ± 180º (± 90º ) Optical axis adjustment(V) 20º (± 10º ) Viewfinder Detachable Protection against dew, frost Calefaction housing(optional) Material PCresin Gross 2000g F. Beam Alignment Voltage test method: Remove the cover and connect power. Adjust the beam frequency of transmitter and receiver to the same channel. Observe the collimation effect at a distance of 5cm from the viewfinder. Adjust the upper/lower angle regulation screw and horizontal adjustment wheel inorder that the image of opposite detector falls into the central part of viewing hole. 81 International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014 ©2014 Engineering and Technology Publishing
- 3. Adjust the vertical adjusting wheel, the signal strength indicator will light up step by step, adjust until level 5 or higher indicator lights up if not adjust it again. Insert the test pen in to the test hole (please note the+,-polarity). First adjust the horizontal angle until the test hole voltage output maximize. Then adjust the until the test hole voltage output maximize. Then adjust the vertical angle by the same way. G. Wiring Connections Table II, III, IV, V & VI show detail connections required for transmitters and receivers used in application development. TABLE II. TRANSMITTER WIRING CONNECTIONS. Transmitter Terminalnos. Connectiondetails 1. 12VSupply 2. Gnd 3 & 4 Noconnection TABLE III. RECEIVER I FOR ALARM GENERATING HOOTER CONNECTIONS Receiver I(For alarm generating by hooter) Terminalnos. Connectiondetails 1. 12Vsupply 2,3 Gnd 5. Trigger of Timercircuit 4,6 & 7 No.connection TABLE IV. RECEIVER II FOR ALARM GENERATING HOOTER CONNECTIONS Receiver II(For alarm generating by hooter) Terminalnos. Connectiondetails 1. 12Vsupply 2&3 Gnd 4,6&7 Noconnection 5. Connectedto5th terminalofReceiverI Receiver I (RFID) A tag will be connected in place of hooter and timer circuit. TABLE V. RECEIVER I FOR RFID CONNECTION. Terminalnos. Connectiondetails 1. 12VSupply 2,3&4 Gnd 5,6 & 7 Noconnection Receiver II (RFID) A tag will be connected in place of hooter and timer circuit. TABLE VI. RECEIVER II FOR RFID CONNECTION. Terminalnos. Connectiondetails 1. 12VSupply 2. Gnd 3. ToTag 4. Connectedto4th terminalofReceiverI 5,6 & 7 Noconnection H. ConnectorsUsedfor RFID: Figure 2. Fivepin, three pin&two pin round connector. TABLE VII. CONNECTORS USED FOR RFID Pinno. Fortag ForDCoutput ForACinput 1 Gnd Gnd Neutral 2 Supply No connection Phase 3 No connection Supply 4 Receiver terminal 5 Receiver terminal 1) For alarm sound emitter by hooter: Figure 3. Fourpin, three pin &two pin connector. TABLE VIII. TIMER CIRCUIT CONNECTIONS For timer circuit Pinno . Fortimercircuit ForDCpowersuppl y ForACinpu t 1 Gnd Gnd Phase 2 Supplyfortimer Noconnection Neutral 3 Noconnection Supplyforrelay 4 Connectedto5th terminalofI R III. WIRELESS CAMERA This is a great Wireless and Wired IP monitoring system and it works with both PC by simply connecting with LAN cable or through network router. The camera also process span (270° ) and tilt (120° ) remote rotation through browser. The web interface has 9 squares (3x3screen), 4squares (2x2screen) and single system so that you can connect up to 9 IP cameras for system monitoring. This IP camera has motion detection, alarm function. Moreover, the camera has built-in infra-red LED with night vision function at night. You can view and record the video or picture into PC and the file can be viewed by standard window media player. You can even do remote monitoring on Internet or Mobile Phone (can connect Internet) with provided software. A. Some of the Camera Features Day/night vision mode. 480Kpixels colour digital CMOS sensor, 0.3Lux low lux illumination. Wired/Wireless Operation–Simply wired with LAN cable or wireless via Wi-Fi router for easy 82 International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014 ©2014 Engineering and Technology Publishing
- 4. installation and operation Remote control pan & tilt camera–PAN:270°and Tilt:120° . Two way audio monitoring. Nine squares system/Quadra system/single system screen monitor-Connecting up to 9 IP cameras for system monitoring. Motion detection–Automatically captures moving objects, and send captured video or snapshot file to your assigned email address or FTP. Alarmfunction– Motiondetectionalarm,andexternalinput/outputalarm ssuchasPIRmotiondetector,smokedetector,gasdetect oretc. Viewing/Recording-Clear user interface to view real-time pictures. Even when you leave for a while, IP camera will record the pictures and transfer files to your PC. Files will be saved in the form of standard windows media, suitable for extensive application program. Easy installation-IP CAMERA is an independent system, with built-in CPU and picture decoder. Just one power adapter and LAN connection can make it work. Multi form protocols-TCP/IP network protocol, SMTP protocol, HTTP protocol and other protocols related to internet. Simple configuration-With standard web browser in administrator interface. Administrator can control and manage IP Camera by LAN or Internet. Dynamic Monitoring–Capturing any tiny pictures and sends to your mailbox. IP camera will automatically compare the two continuous pictures and find out the changes caused by moving. Following Fig. 4 shows camera can also take part in a multi camera network application. Figure 4. Multi camera network application. IV. FUNCTIONING OF SOFTWARE INVOLVED Let us look at the proto type of the software that has to be developed for integration of the components and efficient working of the system. The central server is always highly secured and the administrator can access it with a user-id and password which has to be entered in the login page. After logging in a map of the entire premises guarded with the IR sensors is displayed in a console and the beacons indicate the intrusion. Each beacon represents a unique position, which is equipped with the entire arrangement. Red indicates intrusion and Green indicates no intrusion. The current or real time view of the position scan be monitored by clicking on the irrespective positions in the interactive map. [5] In case of intrusion, the beacon turns red and on clicking on the position, the exact details like date and time of intrusion, the related videos and snapshots of the intrusion can be obtained. After the intrusion, the dual radio sends the SMS and MMS to the central server. Upon receiving the information, a separate window pops- up with the provision of sending the MMS to the user/owner of the premises manually. A SMS is also sent to the owner besides the central server. In case of malfunctioning or failure of any of the components, a pop up is automatically generated from the respective positions with the details of the faults and a reminder is set until their repair or replacement is accomplished. [6] V. PROPOSED SYSTEM WORKING PRINCIPLE The perimeter of the boundary wall is segmented into multiple straight-line segments of length <=200 meters. The following Fig. 5 illustrates ten-segment intrusion detection system. Then, each segment is protected against intrusion using a pair of Wireless Intrusion Detection units. There is no limit to the number of segments that can be used to protect a long boundary wall. Suppose there is a ten-segment intrusion detection system as shown in Fig. 1 it includes ten Wireless Intrusion Detection units, wireless routers for data communication to a remote computer (central security office) and software at central security office for visualization, report generation and data analysis.[7] Figure 5. Wireless infrared intrusion detection systemschematic One segment of Wireless Intrusion Detection system consists of infra-red receiver and infra-red transmitter one infra-red sensor unit in separate mounting stands. Each mounting stand also includes a halogen light and a buzzer 83 International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014 ©2014 Engineering and Technology Publishing
- 5. for alert generation. Additionally, an outdoor camera may be used for each segment to capture snapshots of the event as soon as any intrusion is detected. Each segment can realize a straight-line fencing of length <=200 meters. Each mounting unit (Tx and Rx for IR) will also include a wireless tag to send the intrusion signal wirelessly to control station and hooter, spot light and (an optional) camera for alert generation. [8] Figure 6. Proposed wireless intrusion detection system. Central security office is nothing but remote control station with wireless receiver for getting intrusion location information from wireless tag attached to the intrusion detection unit. GSM/GPRS modem is used to send automatic SMS to preset mobile numbers and software to capture snap-shots of affected area. [9] VI. CONCLUSION AND FUTURE WORK This proposal has resulted in the development of an effective, low-cost wireless intrusion detection system. The device and the RFID tags used to instrument the environment are inconspicuous and low cost. As soon as the routing and the communication between control station and user works, new opportunities may arise to make the system viable for people with special requirements. Future work will be solving problem of false alarm. [10] REFERENCES [1] S. Roy, Anurag D, and S. Bandyopadhyay, "Testbed implementation of a pollution monitoring system using wireless sensor network for the protection of public spaces," International Journal of Business Data Communications and Networking, vol. 5, no. 4, Oct-Dec, 2009. [2] S. Bandyopadhyay, S. Roy, and M. Pal, “ Ubiquitous computing for improving industrial safety and security management,” in Proc. Ubicomp-India 2010, C-DAC, Chenai, 29th & 30th January 2010. [3] S. Roy, S. Bandyopadhyay, M. Das, S. Batabyal, and S. Pal, "Real time traffic congestion detection and management using active RFID and GSM technology," presented at the 2010 International Conference on Intelligent Transport Systems Telecommunications, Kyoto, Japan, 9-11 November 2010. [4] K. Rajawat, A. Cano, and G. B. Giannakis, “Network-compressive coding for wireless sensors with correlated data,” IEEE Transactions on Wireless Communications, vol. 11, no. 12, December 2012. [5] G. J. Chen, V. Dwyer, I. Krikidis, J. S. Thompson, S. McLaughlin, and J. Chambers, “Relay selection for secure cooperative networks with jamming,” IEEE Transactions on Wireless Communications, vol. 11, no. 6, June 2012. [6] G. Middleton, B. Aazhang, and J. Lilleberg, “A flexible framework for polynomial-time resource allocation in streaming multiflow wireless networks,” IEEE Transactions on Wireless Communications, vol. 11, no. 3, March 2012. [7] J. M. Chung, S. Moon, and M. Kim, “Broadcast scheduling for wireless mesh networks based on transmission demand,” IEEE Transactions on Wireless Communications, vol. 12, no. 2, February 2013. [8] Wireless Network Security, NIST, Technology Administration US Department of Commerce. [9] H. Madura, Z. Sikorski, H. Polakowski, and M. Kastek, Institute of Optoelectronics, Military University of Technology, 2 Kaliskiego Str., 00-908 Warsaw. [10] K. Mandal1, A. Sen, A. Chakraborty, S. Roy, S. Batabyal, and S. Bandyopadhyay, “Road traffic congestion monitoring and measurement using active RFID and GSM technology,” JayashreeKharat, Assistant Professor in Department of Electronics Engineering, DKTE’s TEI, Ichalkaranji. Research interest is inVLSIdesign. PrashantKharat, Assistant Professor in Department of Information Technology, Walchand College of engineering, Sangli. Research interest is in wireless networks and security. 84 International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014 ©2014 Engineering and Technology Publishing