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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2256
SMART CARD BASED AUTOMATED TOLL PLAZA SYSTEM
MR.SATHISH KUMAR1, P.DHIVYA2, R.ABINAYA3, S.INDHUMATHI4, T.DEEPIKA5
1ASST PROFESSOR, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING,
PANIMALAR ENGINEERING COLLEGE, CHENNAI, TAMIL NADU, INDIA.
2,3,4,5 STUDENT, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING,
PANIMALAR ENGINEERING COLLEGE, CHENNAI, TAMIL NADU, INDIA.
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Abstract - – Internet of things is one of the most
emerging and popular technology which has changed our
life, by impacting different areas such as shopping,
production, storage, monitoring physical devices etc.
Internet of Things concept has a possibility to combine
different devices from different areas results in exchange of
different data types through different networks. The aim of
our project is to design a system which automatically
identifies an approaching vehicles and record toll gate
name, date and time. If the vehicle belongs to the authorized
person, it automatically opens the toll gate and a
predetermined amount is automatically deducted from its
account. This will reduce Traffic congestion at toll plazas
and helps in lower fuel consumption. This technology can be
used where time and efficiency are the matter of priority in
toll collection systems of present day. When the vehicle
moves through the toll gate on any road, it is indicated on
the RFID reader that it has crossed the clearing. Thus the
reader reads the information in the tag and the transaction
takes place through a centralized data base and the
aftermath details of the transaction is intimated to the
user’s mobile through GSM technology. The need for manual
toll based systems is completely reduced in this method. In
the existing system, sensor nodes are equipped with a Global
Positioning System module as to provide geo location
information of their sensed data. However, GPS modules
present additional production costs and are also power
consumption. So In this project, we propose, analyze, and
experimentally demonstrate a new localization problem
found in many large scale WSN deployments: the Wireless
Localization Matching Problem. Here the locations of the
sensor nodes are known a priori and a deck of m cards
labeled 1 through m is shuffled randomly. A match occurs
when the number on the card matches the card’s position in
the deck
Key Words: Internet of Things, IoT, connection,
network, programming, performance, vehicle toll
payment.
1. INTRODUCTION
Interfacing different small resource constrained devices
through the Internet to centralized or cloud systems
results in binding different services and data transfer.
Such concept called Internet of Things (IoT) aims to
connect different physical environments, implementing
different services such as measurement, control, analytics,
reporting, etc. Such connectivity based on lightweight
Internet protocols is not only constrained to a centralized
system, it has the ability to interface other IoT devices
together forming big and dynamic network. The IoT can be
considered as one type of environment in which all
physical objects, peoples and animals are having unique
identity and they are able to transfer data over the
network without any interaction. IoT is the combination of
different technologies; it evolved the internet, wireless
technologies and micro-electromechanical systems
(MEMS). This terminology can be considered as the
Internet of Everything. A thing presents in the IoT
environment can be a man-made object, a person with a
heart monitor implant, any animal with a biochip
transponder and any vehicle with sensor. All these things
are assigned with one unique IP address and have the
ability to transfer data over the Internet. So far, IoT closely
related to Machine-to-Machine (M2M) communication in
manufacturing, oil, gas and power industries. The IPv6s
having huge addresses space and with help of IPv6 we can
assign a unique address to each object present on the
surface of earth. IPv6 is a very significant feature for the
development of Internet Things.
1.1 EXISTING SYSTEM
There are two methods of collecting tax presently used
they are First is the traditional manual method where one
person collects money and issues a receipt. In the existing
system, sensor nodes are equipped with a Global
Positioning System (GPS) module as to provide geo
location information of their sensed data. However, GPS
modules present additional production costs and are also
power hungry to run (about 30mA at 3.3V). Moreover, GPS
is not accurate in indoors. The above methods are subject
to errors caused by background noise, wireless multipath
fading, shadowing, non-line-of-sight (NLoS), path loss, etc.
Hence empirical models are often evoked to retune and
refine the accuracy of the localization methods. These are
sometimes costly and time-consuming since model
parameters need to be adjusted for each specific
environment. Internet is a worldwide structure of
interconnected IP networks that links billions of
computers together. Network infrastructure comprises
routers, gateways, switches, repeaters.
1.2 PROPOSED SYSTEM
The proposed method is to provide a fast and safe
environment for toll collection and to automatically
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2257
control the vehicle movements at the toll stations. IR
sensor is used to detect the vehicle and the Gate models
are used here to open and close while the vehicle is
entering or exit in the Toll Tax unit. The RFID reader is
used to read the tag of the vehicles. The Vehicle
information is stored in the microcontroller based on the
TAG number. Based on that number the Tax amount for
that vehicle will automatically transfer to the toll gate
system. And that cost information will be sent through
GSM modem to a mobile phone of the owner. The main
objective behind this proposal is to create a suitable
Automatic Toll Gate System to be implemented. However,
this proposed system requires major changes in the
infrastructure of the existing toll roads. In this project, we
propose, analyze, and experimentally demonstrate a new
localization problem found in many large scale WSN
deployments: the Wireless Localization Matching Problem
(WLMP). Here the locations of the sensor nodes are known
a priori. However is the unique ID of the wireless sensor
node which is located at each position. Essentially, the
WLMP is a spatially embedded version of the celebrated
matching problem of probability theory, A deck of m cards
labeled 1 through m is shuffled randomly. A match occurs
when the number on the card matches the card’s position
in the deck.
2.ARCHITECTURAL DESIGN
2.1 SYSTEM ARCHITECTURE
We propose a model, design and implementation of
vehicle toll payment based on loT device. Such loT based
payment system is based on source and destination point
selection as well as calling a web service on a centralized
web application. The web service call implies transmitting
authorization data such as (hashed) user ID, vehicle
category and license plate, as well as all desired toll
payment information as JSON data. Afterwards, the web
application processes the received data and realizes the
payment electronically over an electronically (online)
payment service. Such online payment service can
represent the well-known and popular PayPal. In case of
successful payment realization and on query request from
IoT device, the web application responds to the request
and transmits back the payment realization details for the
specific vehicle (based license plate, vehicle category and
user lD). After the payment confirmation and successful
response, a possibility to drive through the toll stations or
through the country (in case of vignette) without retention
is considered and condition.
Fig 1: vehicle toll payment using IoT device
When a vehicle reaches the toll station at a specific
distance, camera (on toll stations) scans the license plate
and transmits the information to the local system which
analyzes the payment detail for that vehicle based on
license plate information. After successful payment
approval, the toll ramp opens, which enables the vehicle
driving through the toll station without retention. Analog
approach for vignette payment, camera on or near the
country border scans and sends the vehicle license plate to
local system which examines the vignette payment.
2.2 HARDWARE ARCHITECTURE
2.2.1 Power Supply:
If you are considering making your own power supply
then three components are needed: · Transformer · Bridge
rectifier · Smoothing capacitor. The transformer’s current
rating a least 2/3rd ‘s of the stepper drive boards
capability, so for example: The Rout Out CNC stepper
drivers have a 2.5A limit therefore (2.5 / 3) X 2 = 1.66A If
you had for example 3 boards (X,Y,Z) then this would be
1.66 X 3 = 4.98 A Total Current. The DC output voltage of
the supply will be 1.4 times the transformer’s ac voltage
when rectified. For example: An 18 VAC secondary will
provide about 25 VDC at the output of the smoothed
supply. The bridge rectifier’s voltage and current ratings
must exceed what the supply will deliver. Finally the
minimum filter capacitor size must be calculated.
2.2.2 GSM:
GSM modem allows the computer to communicate over
the mobile network through calls, SMS and MMS messages.
It consists of a SIM card and operates over a subscription
through a mobile network. It is a highly flexible plug-and-
play device capable of connecting to a PC or any
microcontroller’s serial port through MAX232IC. This IC is
used to convert the TTL logic levels of the microcontroller
to a RS232 logic level for enabling serial communication.
GSM is a TDMA based wireless network technology
developed in Europe that is used throughout most of the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2258
world. GSM phones make use of a SIM card to identify the
user's account. The use of the SIM card allows GSM
network users to quickly move their phone number from
one GSM phone to another by simply moving the SIM card.
Fig 2: Basic block diagram of toll collection
2.2.3 MEMS Sensor:
Polysilicon springs suspend the MEMS structure above the
substrate such that the body of the sensor can move in the
X and Y axes. Acceleration causes deflection of the proof
mass from its centre position. Around the four sides of the
square proof mass are 32 sets of rad. These fingers are
positioned between plates that are fixed to the substrate.
Each finger and pair of fixed plates make up a differential
capacitor, and the deflection of the proof mass is
determined by measuring the differential capacitance.
This sensing method has the ability of sensing both
dynamic acceleration and static acceleration.
2.3 SOFTWARE ARCHITECTURE
While RF localization has come a long way, there are many
unconventional localization problems which remain
unexplored. In this project we have proposed a new type
of localization problem for use in WSNs: the wireless
localization matching problem (WLMP), which is a
matching problem between perfectly known sensor node
positions and their unknown IDs via wireless RF
positioning methods. Examples of such scenarios are
commonly found in real life, for instance during mass
equipments installations in the commercial or Industrial
buildings which are currently time and cost inefficient.
Cloud becomes an ideal storage location for storing and
processing IoT data but there are some problems to use
the cloud for IoT data Storage. The main and major issue is
security of cloud storage3. In many situation data collected
from IoT devices is more sensitive or very important for
the organization. When cloud storage is used, then
organizations worried about the cloud security issues.
This paper describes the some of the security issues which
hampers the cloud and their resolutions which make sure
to the organization that the data stored on cloud is
secured. A first, sharing the computing resource with
cloud providers, physical security is lost. Data is stored
with the third party cloud provider therefore the user
does not have knowledge where the data is stored and not
have control over it. This issue can be solved by insuring
secure Data Transfer. The second issue is preserving the
integrity and truthfulness of the data. This issue can be
handled by providing Secure User Interfaces. The third
issue is, there may be the possibility that the privacy rights
will not be followed by cloud service providers. This issue
can be solved by applying cryptography techniques to
data. We provide good software which insures about
security of the cloud storage system, and then there is a no
problem to accept cloud storage to store IoT data.
Fig 3: retrieval of information from cloud
3. SYSTEM WORKING
Internet of Things (IoT) aims to connect different physical
environments, implementing different services such as
measurement, control, analytics, reporting, etc. Such
connectivity based on lightweight Internet protocols is not
only constrained to a centralized system, it has the ability
to interface other IoT devices together forming big and
dynamic network.
Fig 4: basic flowchart
In the proposed Architecture, IoT devices are placed to
collect the data, if devices are not able to connect to the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2259
internet and cannot transfer the data, and then gateways
are used as intermediate between things and cloud to
provide the needed connectivity. In the designed secure
system, the administrator will define the roles according
to the job functionalities played in the organization, then
he/she adds the user in the system who wants to access
the stored data from the cloud storage according to their
needs. Administrator also creates one role manager and
gives access rights to manage the roles of the user. The
Role Manager allocates the specific roles to the user and
has authority to remove the role assigned to the user.
After that, the collected data from devices are encrypted
by the administrator and stored it in to the cloud storage
for the particular role so that only the users with
appropriate roles can decrypt and view this data. The data
collected from IoT devices is stored in encrypted format,
therefore cloud provider is not able to see or read this data
Besides the interface, a plain text file on local host device
is used with inserted routes which represent the driving
routes and correspondent information for only the
purpose of toll payment When the driver in the embedded
application specifies the required information, a search is
started on this file which results in representing all
possible routes with vehicle toll payment. Thereafter, the
driver has the ability to select required driving routes for
vehicle toll payment and confirm the request. The
parameters license plate, vehicle category, user ID as well
as toll payment details through all required driving routes
are always sent (for ticket or vignette payment).
Thereafter, the web application processes the request
through an electronically payment service.
4. CONCLUSION
By practically implementing Smart card based Automatic
Toll plaza System. We can provide a convenient
transportation for the public i.e. we can avoid traffic
congestion. It is the most efficient way of toll collection
which can reduce the manual effort at toll plaza. We are
avoiding the emergency vehicles such as ambulance, fire
force etc. from the toll collection. In this busy world we
give preference for time and efficiency, so for fulfilling this
we can implement this kind of toll collection system. By
doing automation of toll plaza we can have the best
solution over money loss at toll plaza by reducing the man
power required for collection of money and also can
reduce the traffic indirectly resulting in reduction of time
at toll plaza.
5. REFERENCES
[1] Daniel K. Fisher, Rapid Deployment of Internet-
Connected Environmental Monitoring Devices, Advances
in Internet of Things, vol. 4, pp. 46–54, (2014).
[2] Intel, Developing solutions for Internet of Things,
White paper on Internet of Things, www.intel.com/iot.
Macmillan, (1979).
[3] Amit Sangroya, Saurabh Kumar, Jaideep Dhok and
Vasudeva Varma, Towards Analyzing Data Security Risks
in Cloud Computing Environments, Springer-Verlag Berlin
Heidelberg, pp. 255–265, (2010).
[4] O.Harfoushi, B. Alfawwaz, N.Ghatasheh, R.Obiedat,
M.Abu-Faraj andH.Faris, Data Security Issuesand
Challenges inCloud Computing: A Conceptual Analysis and
Review, Communications and Network, vol. 6, no. 1, pp.
15–21, (2014).
[5] J. D. Bokefode, S. A. Ubale, S. Apte Sulabha and D. G.
Modani, Analysis of DAC MAC RBAC Access Control based
Models for Security, International Journal of Computer
Applications, vol. 104, no. 5, October (2014).
[6] B. W. Lampson, Protection, ACM SIGOPS Operating
System Review, vol. 8(1), pp. 18–24, January (1974), J. K.
Wang, Xinpei Jia, Data Security and Authentication in
Hybrid Cloud Computing Model, Global High Tech
Congress on Electronics (GHTCE) on IEEEPublication, pp.
117–120, (2012).
[7] B. Katole, M. Sivapala, Suresh V. (2013, July). Principle
Elements and Frameworks of Internet of Things.
International Journal of Engineering and Science.
[8] Gubbi, R. Buyya, S. Marusic, M. Palaniswami, "Internet
of Things (loT): A vision, architectural elements,and future
directions", Future Generation Computer Systems.
[9] Shelby, Z., Hartke, K., and C. Bormann, "The
Constrained Application Protocol (CoAP)".
[10] R. Sandhu and Q. Munawer, The ARBAC99 Model for
Administration of Roles, In Proc. of the 15th Annual
Computer Security Applications Conference, Phoenix,
Arizona, December (1999).
[11] R. Sandhu, E. J. Coyne, H. L. Feinstein and C. E.
Youman, The ARBAC97 Model for Role-Based
Administration of Roles, In Proc. of 2nd ACM Work-shop
on Role Based Access Control, (1997).
[12] R. Sandhu and Q. Munawer, The RRA97 Model for
Role Based Administration of Role Hierarchies, In Proc. of
3rd ACM Workshop on Role Based Access Control, (1998).
[13] Bhagyashri Katole, Manikanta Sivapala and V. Suresh,
Principle Elements and Framework of Internet of Things,
Research Inventy: International Journal of Engineering
and Science, vol. 3, issue 5, pp. 24–29, July (2013).
[14] W. Stallings, Cryptography and Network Security
Principles and Practices Fourth Edition, Pearson
Education, Prentice Hall, (2009).
[15] Tingyuan Nie and Teng Zhang, A Study of DES and
Blowfish Encryption Algorithm, IEEE Publications, (2009).
[16] Singh, S. Preet and Maini, Raman, Comparison of Data
Encryption Algorithms, International Journal of Computer
science and Communication, vol. 2, no. 1, pp. 125–127,
January–June (2011).

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2256 SMART CARD BASED AUTOMATED TOLL PLAZA SYSTEM MR.SATHISH KUMAR1, P.DHIVYA2, R.ABINAYA3, S.INDHUMATHI4, T.DEEPIKA5 1ASST PROFESSOR, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, PANIMALAR ENGINEERING COLLEGE, CHENNAI, TAMIL NADU, INDIA. 2,3,4,5 STUDENT, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, PANIMALAR ENGINEERING COLLEGE, CHENNAI, TAMIL NADU, INDIA. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - – Internet of things is one of the most emerging and popular technology which has changed our life, by impacting different areas such as shopping, production, storage, monitoring physical devices etc. Internet of Things concept has a possibility to combine different devices from different areas results in exchange of different data types through different networks. The aim of our project is to design a system which automatically identifies an approaching vehicles and record toll gate name, date and time. If the vehicle belongs to the authorized person, it automatically opens the toll gate and a predetermined amount is automatically deducted from its account. This will reduce Traffic congestion at toll plazas and helps in lower fuel consumption. This technology can be used where time and efficiency are the matter of priority in toll collection systems of present day. When the vehicle moves through the toll gate on any road, it is indicated on the RFID reader that it has crossed the clearing. Thus the reader reads the information in the tag and the transaction takes place through a centralized data base and the aftermath details of the transaction is intimated to the user’s mobile through GSM technology. The need for manual toll based systems is completely reduced in this method. In the existing system, sensor nodes are equipped with a Global Positioning System module as to provide geo location information of their sensed data. However, GPS modules present additional production costs and are also power consumption. So In this project, we propose, analyze, and experimentally demonstrate a new localization problem found in many large scale WSN deployments: the Wireless Localization Matching Problem. Here the locations of the sensor nodes are known a priori and a deck of m cards labeled 1 through m is shuffled randomly. A match occurs when the number on the card matches the card’s position in the deck Key Words: Internet of Things, IoT, connection, network, programming, performance, vehicle toll payment. 1. INTRODUCTION Interfacing different small resource constrained devices through the Internet to centralized or cloud systems results in binding different services and data transfer. Such concept called Internet of Things (IoT) aims to connect different physical environments, implementing different services such as measurement, control, analytics, reporting, etc. Such connectivity based on lightweight Internet protocols is not only constrained to a centralized system, it has the ability to interface other IoT devices together forming big and dynamic network. The IoT can be considered as one type of environment in which all physical objects, peoples and animals are having unique identity and they are able to transfer data over the network without any interaction. IoT is the combination of different technologies; it evolved the internet, wireless technologies and micro-electromechanical systems (MEMS). This terminology can be considered as the Internet of Everything. A thing presents in the IoT environment can be a man-made object, a person with a heart monitor implant, any animal with a biochip transponder and any vehicle with sensor. All these things are assigned with one unique IP address and have the ability to transfer data over the Internet. So far, IoT closely related to Machine-to-Machine (M2M) communication in manufacturing, oil, gas and power industries. The IPv6s having huge addresses space and with help of IPv6 we can assign a unique address to each object present on the surface of earth. IPv6 is a very significant feature for the development of Internet Things. 1.1 EXISTING SYSTEM There are two methods of collecting tax presently used they are First is the traditional manual method where one person collects money and issues a receipt. In the existing system, sensor nodes are equipped with a Global Positioning System (GPS) module as to provide geo location information of their sensed data. However, GPS modules present additional production costs and are also power hungry to run (about 30mA at 3.3V). Moreover, GPS is not accurate in indoors. The above methods are subject to errors caused by background noise, wireless multipath fading, shadowing, non-line-of-sight (NLoS), path loss, etc. Hence empirical models are often evoked to retune and refine the accuracy of the localization methods. These are sometimes costly and time-consuming since model parameters need to be adjusted for each specific environment. Internet is a worldwide structure of interconnected IP networks that links billions of computers together. Network infrastructure comprises routers, gateways, switches, repeaters. 1.2 PROPOSED SYSTEM The proposed method is to provide a fast and safe environment for toll collection and to automatically
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2257 control the vehicle movements at the toll stations. IR sensor is used to detect the vehicle and the Gate models are used here to open and close while the vehicle is entering or exit in the Toll Tax unit. The RFID reader is used to read the tag of the vehicles. The Vehicle information is stored in the microcontroller based on the TAG number. Based on that number the Tax amount for that vehicle will automatically transfer to the toll gate system. And that cost information will be sent through GSM modem to a mobile phone of the owner. The main objective behind this proposal is to create a suitable Automatic Toll Gate System to be implemented. However, this proposed system requires major changes in the infrastructure of the existing toll roads. In this project, we propose, analyze, and experimentally demonstrate a new localization problem found in many large scale WSN deployments: the Wireless Localization Matching Problem (WLMP). Here the locations of the sensor nodes are known a priori. However is the unique ID of the wireless sensor node which is located at each position. Essentially, the WLMP is a spatially embedded version of the celebrated matching problem of probability theory, A deck of m cards labeled 1 through m is shuffled randomly. A match occurs when the number on the card matches the card’s position in the deck. 2.ARCHITECTURAL DESIGN 2.1 SYSTEM ARCHITECTURE We propose a model, design and implementation of vehicle toll payment based on loT device. Such loT based payment system is based on source and destination point selection as well as calling a web service on a centralized web application. The web service call implies transmitting authorization data such as (hashed) user ID, vehicle category and license plate, as well as all desired toll payment information as JSON data. Afterwards, the web application processes the received data and realizes the payment electronically over an electronically (online) payment service. Such online payment service can represent the well-known and popular PayPal. In case of successful payment realization and on query request from IoT device, the web application responds to the request and transmits back the payment realization details for the specific vehicle (based license plate, vehicle category and user lD). After the payment confirmation and successful response, a possibility to drive through the toll stations or through the country (in case of vignette) without retention is considered and condition. Fig 1: vehicle toll payment using IoT device When a vehicle reaches the toll station at a specific distance, camera (on toll stations) scans the license plate and transmits the information to the local system which analyzes the payment detail for that vehicle based on license plate information. After successful payment approval, the toll ramp opens, which enables the vehicle driving through the toll station without retention. Analog approach for vignette payment, camera on or near the country border scans and sends the vehicle license plate to local system which examines the vignette payment. 2.2 HARDWARE ARCHITECTURE 2.2.1 Power Supply: If you are considering making your own power supply then three components are needed: · Transformer · Bridge rectifier · Smoothing capacitor. The transformer’s current rating a least 2/3rd ‘s of the stepper drive boards capability, so for example: The Rout Out CNC stepper drivers have a 2.5A limit therefore (2.5 / 3) X 2 = 1.66A If you had for example 3 boards (X,Y,Z) then this would be 1.66 X 3 = 4.98 A Total Current. The DC output voltage of the supply will be 1.4 times the transformer’s ac voltage when rectified. For example: An 18 VAC secondary will provide about 25 VDC at the output of the smoothed supply. The bridge rectifier’s voltage and current ratings must exceed what the supply will deliver. Finally the minimum filter capacitor size must be calculated. 2.2.2 GSM: GSM modem allows the computer to communicate over the mobile network through calls, SMS and MMS messages. It consists of a SIM card and operates over a subscription through a mobile network. It is a highly flexible plug-and- play device capable of connecting to a PC or any microcontroller’s serial port through MAX232IC. This IC is used to convert the TTL logic levels of the microcontroller to a RS232 logic level for enabling serial communication. GSM is a TDMA based wireless network technology developed in Europe that is used throughout most of the
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2258 world. GSM phones make use of a SIM card to identify the user's account. The use of the SIM card allows GSM network users to quickly move their phone number from one GSM phone to another by simply moving the SIM card. Fig 2: Basic block diagram of toll collection 2.2.3 MEMS Sensor: Polysilicon springs suspend the MEMS structure above the substrate such that the body of the sensor can move in the X and Y axes. Acceleration causes deflection of the proof mass from its centre position. Around the four sides of the square proof mass are 32 sets of rad. These fingers are positioned between plates that are fixed to the substrate. Each finger and pair of fixed plates make up a differential capacitor, and the deflection of the proof mass is determined by measuring the differential capacitance. This sensing method has the ability of sensing both dynamic acceleration and static acceleration. 2.3 SOFTWARE ARCHITECTURE While RF localization has come a long way, there are many unconventional localization problems which remain unexplored. In this project we have proposed a new type of localization problem for use in WSNs: the wireless localization matching problem (WLMP), which is a matching problem between perfectly known sensor node positions and their unknown IDs via wireless RF positioning methods. Examples of such scenarios are commonly found in real life, for instance during mass equipments installations in the commercial or Industrial buildings which are currently time and cost inefficient. Cloud becomes an ideal storage location for storing and processing IoT data but there are some problems to use the cloud for IoT data Storage. The main and major issue is security of cloud storage3. In many situation data collected from IoT devices is more sensitive or very important for the organization. When cloud storage is used, then organizations worried about the cloud security issues. This paper describes the some of the security issues which hampers the cloud and their resolutions which make sure to the organization that the data stored on cloud is secured. A first, sharing the computing resource with cloud providers, physical security is lost. Data is stored with the third party cloud provider therefore the user does not have knowledge where the data is stored and not have control over it. This issue can be solved by insuring secure Data Transfer. The second issue is preserving the integrity and truthfulness of the data. This issue can be handled by providing Secure User Interfaces. The third issue is, there may be the possibility that the privacy rights will not be followed by cloud service providers. This issue can be solved by applying cryptography techniques to data. We provide good software which insures about security of the cloud storage system, and then there is a no problem to accept cloud storage to store IoT data. Fig 3: retrieval of information from cloud 3. SYSTEM WORKING Internet of Things (IoT) aims to connect different physical environments, implementing different services such as measurement, control, analytics, reporting, etc. Such connectivity based on lightweight Internet protocols is not only constrained to a centralized system, it has the ability to interface other IoT devices together forming big and dynamic network. Fig 4: basic flowchart In the proposed Architecture, IoT devices are placed to collect the data, if devices are not able to connect to the
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 2259 internet and cannot transfer the data, and then gateways are used as intermediate between things and cloud to provide the needed connectivity. In the designed secure system, the administrator will define the roles according to the job functionalities played in the organization, then he/she adds the user in the system who wants to access the stored data from the cloud storage according to their needs. Administrator also creates one role manager and gives access rights to manage the roles of the user. The Role Manager allocates the specific roles to the user and has authority to remove the role assigned to the user. After that, the collected data from devices are encrypted by the administrator and stored it in to the cloud storage for the particular role so that only the users with appropriate roles can decrypt and view this data. The data collected from IoT devices is stored in encrypted format, therefore cloud provider is not able to see or read this data Besides the interface, a plain text file on local host device is used with inserted routes which represent the driving routes and correspondent information for only the purpose of toll payment When the driver in the embedded application specifies the required information, a search is started on this file which results in representing all possible routes with vehicle toll payment. Thereafter, the driver has the ability to select required driving routes for vehicle toll payment and confirm the request. The parameters license plate, vehicle category, user ID as well as toll payment details through all required driving routes are always sent (for ticket or vignette payment). Thereafter, the web application processes the request through an electronically payment service. 4. CONCLUSION By practically implementing Smart card based Automatic Toll plaza System. We can provide a convenient transportation for the public i.e. we can avoid traffic congestion. It is the most efficient way of toll collection which can reduce the manual effort at toll plaza. We are avoiding the emergency vehicles such as ambulance, fire force etc. from the toll collection. In this busy world we give preference for time and efficiency, so for fulfilling this we can implement this kind of toll collection system. By doing automation of toll plaza we can have the best solution over money loss at toll plaza by reducing the man power required for collection of money and also can reduce the traffic indirectly resulting in reduction of time at toll plaza. 5. REFERENCES [1] Daniel K. Fisher, Rapid Deployment of Internet- Connected Environmental Monitoring Devices, Advances in Internet of Things, vol. 4, pp. 46–54, (2014). [2] Intel, Developing solutions for Internet of Things, White paper on Internet of Things, www.intel.com/iot. Macmillan, (1979). [3] Amit Sangroya, Saurabh Kumar, Jaideep Dhok and Vasudeva Varma, Towards Analyzing Data Security Risks in Cloud Computing Environments, Springer-Verlag Berlin Heidelberg, pp. 255–265, (2010). [4] O.Harfoushi, B. Alfawwaz, N.Ghatasheh, R.Obiedat, M.Abu-Faraj andH.Faris, Data Security Issuesand Challenges inCloud Computing: A Conceptual Analysis and Review, Communications and Network, vol. 6, no. 1, pp. 15–21, (2014). [5] J. D. Bokefode, S. A. Ubale, S. 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