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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 422
Internet of Things (IoT) Based Smart Environment Integrating
Various Business Applications and Recent Research Directions
Dr. Vijeta Kumawat1, B. Umamaheswari2
1Associate Professor, 2
Assistant Professor
1, 2JECRC College of Engineering, Jaipur, Rajasthan, India
How to cite this paper: Dr. Vijeta
Kumawat | B. Umamaheswari "Internet
of Things (IoT) Based Smart
Environment Integrating Various
Business Applications and Recent
Research Directions" Published in
International Journal of Trend in
Scientific Research and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.422-425, URL:
https://www.ijtsrd.c
om/papers/ijtsrd23
658.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
In this paper, we emphasize the concept of Internet of Things (IoT), in addition
to reviewing the main challenges of the IoT environment by focusing on the
recent research directions in this topic. With the increasing dependency of
events over the smart objects which can be easily controlled and monitored, can
be identified automatically and communicate with each other through internet
and can make decisions by themselves, there is an urgent need of new paradigm
which can connect these smart devices together and that new paradigm is
Internet of Things. in fact, the IoT environment possesses a large range of
challenges has a wide impact on their performance, which can be divided into
two categories, that is i) General challenges: for example communication,
heterogeneity, virtualization and security; plus ii) Unique challenges: for
example wireless sensor network (WSN), RadioFrequencyIdentification(RFID),
and as a final point Quality of service (QoS) which is measured as a common
factor between general and special challenges. This paper highlights the major
applications of the IoT. More than a small number of sectors like security and
emergency, meteorology, banking, agriculture, Surveillances, health care,
education, government e services, domestic appliances monitoring, traffic
surveillance are integrated and a variety of objects and devices are connected
using RFID technology. This paper as well describes that how various fields are
connected by means of RFID technology and sensor networks.
Keywords: Internet of Things; heterogeneity; virtualization; WSN; RFID; QoS
1. APPLICATIONS
Recently, the IoT technology has appeared as a one of the
basics in our lives because it uses almost every areas such
healthcare, smart water, agriculture, transportations,
surveillance and so on. Furthermore, there are many
applications which use this concept.
Healthcare: the IoT Cloud paradigm has been broadly used
in the healthcare region to diagnosis, treatmentand tracking
the status of the patients at all. The paradigm ought to serve
four pivots namely, i) tracking: it is a purpose aimed to
identify the patient in motion, ii) identification and
authentication: identification aimed to reduce mistakes in
diagnosis and authentication used to meet with security
requirements, iii) data collection: It is related to integrating
RFID technology it’s typically aimstoreduce processingtime
and finally iv) sensing: it is used to provide real time
information about the patient.
Smart environment: To create thesmartenvironmentsuch
as smart city or smart home while maintaining the level of
service without degradation has relied on the integration
between both IoT and cloud computing. The Smart Home
technology ranking as the highest Internet of Things
application on all measured channels. This includes famous
startup names such as Nest or AlertMe in addition to a
number of multinational corporations like Philips, Haier, or
Belkin. Smart city span a wide variety of use cases, from
traffic management to water distribution, waste
management, urban security andenvironmentalmonitoring.
Its fame is fueled by the fact that many Smart City solutions
promise to ease real pains of people living in cities these
days. IoT solutions in the area of Smart City explain traffic
congestion problems, decrease noise and pollution and help
make cities safer.
Normally, The IoT suffers from a host of the thorniestissues,
first of all, heterogeneity of objects; there are many
middleware technologies are designed to deal with thistype
of issues, such asRFIDmiddlewareandWSNmiddleware. On
the other hand,the cloud computing provides scalabilityand
hide complexity of sensors from end users by using the
virtualization technology. The most popular challenges in
this type of application are limited to security and real-time
applications.Video surveillance: is an intelligent video to
monitor the object behavior and activities, it has become an
important tool of security-related application and it can be
considered as an alternative to self-contained management
systems, and the complex video analytics requires Cloud-
based solutions, and it can be used to satisfy the need to
increase volume of storage capacity of media.
IJTSRD23658
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 423
Smart Farming
Smart farming is an often disregarded business case for the
IoT because it does not really fit into the well known
category such as industries, health and mobility.ontheother
hand, due to the remoteness of farming operations and the
large number of livestock that could be monitored the
Internet of Things couldrevolutionizethewayfarmers work.
But this thought has not yet reached large scale attention.
Nevertheless, one of the IoT applications that should not be
underestimated. Smart farming will become the important
application field in the mostlyagriculturalproduct exporting
countries.
Automotive and smart mobility: the aim of this function
intense on the improvement of transportationandtransport
during increasing safety road, reducing congestion, and
manage traffic. Can be considered the integration between
Cloud Computing and IoT as a promising opportunityto find
efficient solution is characterized by high performance,
security and lowest cost. The challenges in this type are
identification, heterogeneity of sensors, scalability and
dynamic behavior of objects.
Smart energy and smart grid: the biggest difficulty in the
sensors world is power consumption, the battery in sensors
may exhaust very quickly, and both the IoT and Cloud
Computing provide intelligent solutions to manage energy
distribution and consumption in heterogeneous
environments.
2. ARCHITECTURE FOR INTEGRATED IoT BASED SMART ENVIRONMENT
Fig-1: Architecture for IoT based Smart Environment
This section of the paper describes the overall architecture
for the smart environment. Also discussed a layered
framework for IoT based smart environment. The
functioning of RFID system is explicated. The different
possible business applications and sectors toformthesmart
environment as well are deal.
Layered Framework for IoT based smart environment
The layered framework for IoT based smart environment
consists of four layers as shown in figure 3. They are device
layer, middleware layer, network layer andapplicationlayer.
Each layer is described below in short.
2.2.1 Perception layer
Perception layer is also recognized as device layer. All the
sensor devices, RFID tags and various other physical objects
go to this layer. This layer is supported by the wireless
sensor network, RFID antennas and readers. The sensor
devices and RFID tags in the layer help to gather specific
information associated to the objects in the dissimilar
business domains. The collected information may be
location, temperature, sound, pressure, heart pulse,
humidity, climatic condition and so on. Theincidentaldatais
sent further to middleware layer.
Figure3: Layered Framework for IoT based
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 424
2.2.2 Data Conversion Layer
There may be numerousheterogeneoussignals from sensors
and RFID tags in the tiny devices and objects attached to
business applications integrated in the smart environment.
The data collected in the form of heterogeneous signals
cannot be sent to the conventional network for further
processing of data. Majority of the signals might be in
analogous form. Thus,this layerisresponsibleforconverting
special signals inferred into data that might be sent through
the conventional network. This layer consists of middleware
which wires the conversion task.
2.2.3 Network Layer
Network Layer is as wellrecognizedastransportlayerwhich
is responsible for fetching the data to IoT information
kendra for processing. The decision making method based
the on the data sent will be supported with cloud
applications data centre and an administrativemanagement
centre. This layer is functions based on TCP/IP as it
dishonesty on conventional network.Itconsistsof gateways,
routers, switches, firewalls and servers.
2.2.4 Application Layer
The application layer is comprised of all the business
applications in the smart environment planned. The
implementation of each business sector differs by their
applications and services. This layer is in charge for the
decision making process based the data inferred from the
objects and devices attached to the business domains.
4.1 Radio frequency Identification (RFID)
RFID means Radio Frequency Identification.Itbasicallyused
to recognize objects and people using radio technology of
short range. These objects and people as well can
communicate with each other digitally. There are 2 entities
here: Reader which is stationary and Tag which is movable.
This tag on any object is being read by the reader to identify
it. Readers have their own battery supply andinstantiatethe
communication. RFID uses Ultra wide Bandwidth (UWB)
technology to enhance RFID performance in a specific IoT
application field. RFID systems consist of three components
in two combinations: a transceiver and antenna are
frequently combined as an RFID reader.
RFID is a get through in embedded communication and WSN,
RFID is used to make a unique ID for the object in WSN. It
consists of two parts are passive RFID: which used to power
of the reader’s interrogation signal to communicatetheID to
the RFID, and access control.
RFID systems and accomplishment is supermarket chains.
All the goods are the shopping bag of the customer may be
identified by RFID reader as all the products have RFID tags
on them. After identifying the products, the information is
send to the backend which further provides the additional
information such as prices of the products, discounts on the
qualifying products and for the qualifying customers, etc. in
addition the backend reduces the number of products in the
database and notifies the concerned authority if the stock of
the products has to be updated
Wireless Sensor Networks (WSN)
WSN is a wireless network consisting of spatiallydistributed
independent devices using sensors to politely monitor
physical or environmental conditions, such as temperature,
sound, vibration, pressure, motion or pollutants, at different
locations.
There are thousands of wireless sensor nodes which have
some computational power, some memory, limited
bandwidth and sensing capability. They capture and store
the data of the environmental conditions and send the data
to a sink or a base station which further processes and
analyzes the data. The sensor nodes can communicate with
each other using radio signals.Somerealtimeapplications of
WSN include transportation, military, area monitoring,
healthcare etc. WSN is an important part of IoT, it’s
considered as a core to build the IoT block, it consists of a
group of specialized sensor data are shared among sensor
nodes with communication infrastructure for monitoring
some of events or states of objects such as temperature,
sound, pressure, etc. thesesensornodesworkautonomously
and can be linked between them by self-organizing.
CONCLUSION
IoT has been regularly bringing a sea of technical changes in
our daily lives, which in turn helps to makingour lifesimpler
and more contented, though various technologies and
applications. There is numerous usefulness of IoT
applications into all the domains including medical,
manufacturing, industrial, transportation, education,
governance, mining, habitat etc.This paper has sought to
highlight the IoT concept in general through the three
sections namely……….. This paper described how IoT could
put together the different business domain under smart
environment dulysupported byIoTInformationKendra. The
IoT information Kendra willprovidegeneralpublicwitha lot
of services if they are established in each district or region.
This paper has brought out some feasible applications in
every domain. since the IoT based smart environment has
huge benefits the number of challenges and issues are many
and they have to be addressed properly. The use of this
planned IoT based Smart Environment willbedifficultbutat
the same time it has numerous benefits to thesocietyin near
future.
References:
[1] Sarfraz Alam, Mohammad M. R. Chowdhury, Josef Noll,
2010 SenaaS:An Event-driven Sensor Virtualization
Approach for Internet of Things Cloud, Networked
Embedded Systems for Enterprise Applications
(NESEA), 2010 IEEE International Conference on, 1-6.
[2] Andras Kalmar, Rolland Vida, Markosz Maliosz, 2013
Context-aware Addressing in the Internet of Things
using Bloom Filters, Cog l nfoCom 2013· 4th IEEE I
nternational Conference on Cognitive I nfocommun
ications' (Dec. 2013) 487 - 492.
[3] Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic,
Marimuthu Palaniswami, 2013 InternetofThings(IoT):
A Vision, Architectural Elements, and Future
Directions. Future Generation Computer Systems,
1645-1660.
[4] Daoliang Li, Yingyi Chen, Oct. 2010, Computer and
Computing Technologies in Agriculture. Springer, 24-
31.
[5] L. Atzori, A. lera, G. Morabito, The Internet of Things:
Survey. Computer networks, 2787–2805.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 425
[6] S. Haller, S. Karnouskos, and C. Schroth, “The Internet
of Things in an enterprise context,” Future Internet
Systems (FIS), LCNS, vol. 5468. Springer, 2008, pp. 14-
8.
[7] Anne James, Joshua Cooper, Keith Jeffery, and Gunter
Saake. “Research Directions in Database Architectures
for the Internet of Things:ACommunication of theFirst
International Workshop on Database Architecturesfor
the internet of things (DAIT 2009),” BNCOD2009: 225-
233.
[8] Zhang Lin. “School of Management, Zhejiang
University, Prof. Liu Yuan: The business scale of
communications between smartobjectsis tensof times
the scale of communicationsbetweenpersons,”Science
Times. 2009.11.16. (in Chinese)
[9] H. Jiawei and M. Kamber, “Data Mining: Concepts and
Techniques”, Morgan Kaufmann, 2011.
[10] Dieter Uckelmann, Mark Harrison,FlorianMichahelles,
2011. An Architectural Approach Towards the Future
Internet of Things. Architecting Internet of Things by
Springer,1-22.
[11] Kevin C. Desouza, David Swindell, Kendra L. Smith,
Alison Sutherland, Kena Fedorschak, and Carolina
Coronel, 2015. Issues in Technologiesinnovation,(May
2015)
[12] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven
Marusic a , Marimuthu Palaniswami, 2013. Internet of
Things (IoT): A vision, architectural elements, and
future directions.FutureGenerationComputer Systems
29, 1645–1660.
[13] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The
Internet of Things: Vision & Challenges. TENCON IEEE
Spring Conference, 218- 222.
[14] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid
Journal, 97-114.

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Internet of Things IoT Based Smart Environment Integrating Various Business Applications and Recent Research Directions

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 422 Internet of Things (IoT) Based Smart Environment Integrating Various Business Applications and Recent Research Directions Dr. Vijeta Kumawat1, B. Umamaheswari2 1Associate Professor, 2 Assistant Professor 1, 2JECRC College of Engineering, Jaipur, Rajasthan, India How to cite this paper: Dr. Vijeta Kumawat | B. Umamaheswari "Internet of Things (IoT) Based Smart Environment Integrating Various Business Applications and Recent Research Directions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.422-425, URL: https://www.ijtsrd.c om/papers/ijtsrd23 658.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT In this paper, we emphasize the concept of Internet of Things (IoT), in addition to reviewing the main challenges of the IoT environment by focusing on the recent research directions in this topic. With the increasing dependency of events over the smart objects which can be easily controlled and monitored, can be identified automatically and communicate with each other through internet and can make decisions by themselves, there is an urgent need of new paradigm which can connect these smart devices together and that new paradigm is Internet of Things. in fact, the IoT environment possesses a large range of challenges has a wide impact on their performance, which can be divided into two categories, that is i) General challenges: for example communication, heterogeneity, virtualization and security; plus ii) Unique challenges: for example wireless sensor network (WSN), RadioFrequencyIdentification(RFID), and as a final point Quality of service (QoS) which is measured as a common factor between general and special challenges. This paper highlights the major applications of the IoT. More than a small number of sectors like security and emergency, meteorology, banking, agriculture, Surveillances, health care, education, government e services, domestic appliances monitoring, traffic surveillance are integrated and a variety of objects and devices are connected using RFID technology. This paper as well describes that how various fields are connected by means of RFID technology and sensor networks. Keywords: Internet of Things; heterogeneity; virtualization; WSN; RFID; QoS 1. APPLICATIONS Recently, the IoT technology has appeared as a one of the basics in our lives because it uses almost every areas such healthcare, smart water, agriculture, transportations, surveillance and so on. Furthermore, there are many applications which use this concept. Healthcare: the IoT Cloud paradigm has been broadly used in the healthcare region to diagnosis, treatmentand tracking the status of the patients at all. The paradigm ought to serve four pivots namely, i) tracking: it is a purpose aimed to identify the patient in motion, ii) identification and authentication: identification aimed to reduce mistakes in diagnosis and authentication used to meet with security requirements, iii) data collection: It is related to integrating RFID technology it’s typically aimstoreduce processingtime and finally iv) sensing: it is used to provide real time information about the patient. Smart environment: To create thesmartenvironmentsuch as smart city or smart home while maintaining the level of service without degradation has relied on the integration between both IoT and cloud computing. The Smart Home technology ranking as the highest Internet of Things application on all measured channels. This includes famous startup names such as Nest or AlertMe in addition to a number of multinational corporations like Philips, Haier, or Belkin. Smart city span a wide variety of use cases, from traffic management to water distribution, waste management, urban security andenvironmentalmonitoring. Its fame is fueled by the fact that many Smart City solutions promise to ease real pains of people living in cities these days. IoT solutions in the area of Smart City explain traffic congestion problems, decrease noise and pollution and help make cities safer. Normally, The IoT suffers from a host of the thorniestissues, first of all, heterogeneity of objects; there are many middleware technologies are designed to deal with thistype of issues, such asRFIDmiddlewareandWSNmiddleware. On the other hand,the cloud computing provides scalabilityand hide complexity of sensors from end users by using the virtualization technology. The most popular challenges in this type of application are limited to security and real-time applications.Video surveillance: is an intelligent video to monitor the object behavior and activities, it has become an important tool of security-related application and it can be considered as an alternative to self-contained management systems, and the complex video analytics requires Cloud- based solutions, and it can be used to satisfy the need to increase volume of storage capacity of media. IJTSRD23658
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 423 Smart Farming Smart farming is an often disregarded business case for the IoT because it does not really fit into the well known category such as industries, health and mobility.ontheother hand, due to the remoteness of farming operations and the large number of livestock that could be monitored the Internet of Things couldrevolutionizethewayfarmers work. But this thought has not yet reached large scale attention. Nevertheless, one of the IoT applications that should not be underestimated. Smart farming will become the important application field in the mostlyagriculturalproduct exporting countries. Automotive and smart mobility: the aim of this function intense on the improvement of transportationandtransport during increasing safety road, reducing congestion, and manage traffic. Can be considered the integration between Cloud Computing and IoT as a promising opportunityto find efficient solution is characterized by high performance, security and lowest cost. The challenges in this type are identification, heterogeneity of sensors, scalability and dynamic behavior of objects. Smart energy and smart grid: the biggest difficulty in the sensors world is power consumption, the battery in sensors may exhaust very quickly, and both the IoT and Cloud Computing provide intelligent solutions to manage energy distribution and consumption in heterogeneous environments. 2. ARCHITECTURE FOR INTEGRATED IoT BASED SMART ENVIRONMENT Fig-1: Architecture for IoT based Smart Environment This section of the paper describes the overall architecture for the smart environment. Also discussed a layered framework for IoT based smart environment. The functioning of RFID system is explicated. The different possible business applications and sectors toformthesmart environment as well are deal. Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 3. They are device layer, middleware layer, network layer andapplicationlayer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also recognized as device layer. All the sensor devices, RFID tags and various other physical objects go to this layer. This layer is supported by the wireless sensor network, RFID antennas and readers. The sensor devices and RFID tags in the layer help to gather specific information associated to the objects in the dissimilar business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic condition and so on. Theincidentaldatais sent further to middleware layer. Figure3: Layered Framework for IoT based
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 424 2.2.2 Data Conversion Layer There may be numerousheterogeneoussignals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of heterogeneous signals cannot be sent to the conventional network for further processing of data. Majority of the signals might be in analogous form. Thus,this layerisresponsibleforconverting special signals inferred into data that might be sent through the conventional network. This layer consists of middleware which wires the conversion task. 2.2.3 Network Layer Network Layer is as wellrecognizedastransportlayerwhich is responsible for fetching the data to IoT information kendra for processing. The decision making method based the on the data sent will be supported with cloud applications data centre and an administrativemanagement centre. This layer is functions based on TCP/IP as it dishonesty on conventional network.Itconsistsof gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment planned. The implementation of each business sector differs by their applications and services. This layer is in charge for the decision making process based the data inferred from the objects and devices attached to the business domains. 4.1 Radio frequency Identification (RFID) RFID means Radio Frequency Identification.Itbasicallyused to recognize objects and people using radio technology of short range. These objects and people as well can communicate with each other digitally. There are 2 entities here: Reader which is stationary and Tag which is movable. This tag on any object is being read by the reader to identify it. Readers have their own battery supply andinstantiatethe communication. RFID uses Ultra wide Bandwidth (UWB) technology to enhance RFID performance in a specific IoT application field. RFID systems consist of three components in two combinations: a transceiver and antenna are frequently combined as an RFID reader. RFID is a get through in embedded communication and WSN, RFID is used to make a unique ID for the object in WSN. It consists of two parts are passive RFID: which used to power of the reader’s interrogation signal to communicatetheID to the RFID, and access control. RFID systems and accomplishment is supermarket chains. All the goods are the shopping bag of the customer may be identified by RFID reader as all the products have RFID tags on them. After identifying the products, the information is send to the backend which further provides the additional information such as prices of the products, discounts on the qualifying products and for the qualifying customers, etc. in addition the backend reduces the number of products in the database and notifies the concerned authority if the stock of the products has to be updated Wireless Sensor Networks (WSN) WSN is a wireless network consisting of spatiallydistributed independent devices using sensors to politely monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. There are thousands of wireless sensor nodes which have some computational power, some memory, limited bandwidth and sensing capability. They capture and store the data of the environmental conditions and send the data to a sink or a base station which further processes and analyzes the data. The sensor nodes can communicate with each other using radio signals.Somerealtimeapplications of WSN include transportation, military, area monitoring, healthcare etc. WSN is an important part of IoT, it’s considered as a core to build the IoT block, it consists of a group of specialized sensor data are shared among sensor nodes with communication infrastructure for monitoring some of events or states of objects such as temperature, sound, pressure, etc. thesesensornodesworkautonomously and can be linked between them by self-organizing. CONCLUSION IoT has been regularly bringing a sea of technical changes in our daily lives, which in turn helps to makingour lifesimpler and more contented, though various technologies and applications. There is numerous usefulness of IoT applications into all the domains including medical, manufacturing, industrial, transportation, education, governance, mining, habitat etc.This paper has sought to highlight the IoT concept in general through the three sections namely……….. This paper described how IoT could put together the different business domain under smart environment dulysupported byIoTInformationKendra. The IoT information Kendra willprovidegeneralpublicwitha lot of services if they are established in each district or region. This paper has brought out some feasible applications in every domain. since the IoT based smart environment has huge benefits the number of challenges and issues are many and they have to be addressed properly. The use of this planned IoT based Smart Environment willbedifficultbutat the same time it has numerous benefits to thesocietyin near future. References: [1] Sarfraz Alam, Mohammad M. R. 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  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23658 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 425 [6] S. Haller, S. Karnouskos, and C. Schroth, “The Internet of Things in an enterprise context,” Future Internet Systems (FIS), LCNS, vol. 5468. Springer, 2008, pp. 14- 8. [7] Anne James, Joshua Cooper, Keith Jeffery, and Gunter Saake. “Research Directions in Database Architectures for the Internet of Things:ACommunication of theFirst International Workshop on Database Architecturesfor the internet of things (DAIT 2009),” BNCOD2009: 225- 233. [8] Zhang Lin. “School of Management, Zhejiang University, Prof. Liu Yuan: The business scale of communications between smartobjectsis tensof times the scale of communicationsbetweenpersons,”Science Times. 2009.11.16. (in Chinese) [9] H. Jiawei and M. Kamber, “Data Mining: Concepts and Techniques”, Morgan Kaufmann, 2011. [10] Dieter Uckelmann, Mark Harrison,FlorianMichahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22. [11] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologiesinnovation,(May 2015) [12] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions.FutureGenerationComputer Systems 29, 1645–1660. [13] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The Internet of Things: Vision & Challenges. TENCON IEEE Spring Conference, 218- 222. [14] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid Journal, 97-114.