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GREEN INTERNET OF THINGS
FOR SMART WORLD
Y. Mani Kiran Kumar
ABSTRACT
Smart world is envisioned as an era in which objects
(e.g., watches, mobile phones, computers, cars,
buses, and trains) can automatically and intelligently
serve people in a collaborative manner. Paving the
way for smart world, Internet of Things (IoT)
connects everything in the smartworld. Radio
Frequency Identification techniques (RFID) and
related identification technologies will be the
cornerstone of related identification technologies
will be the cornerstone of the upcoming Internet of
Things (IoT).
CONTENTS
• Abstract
• Introduction
• Technologies
• Sensor cloud towards green IOT
• Future for Internet of Things
• Conclusion
INTRODUCTION
• Internet of thing is that things can communicate to each other
without human. The things communicate directly between each
other can save the communication energy with user.
• With the rapid development of science and technology, the world is
becoming ``smart''. Living in such a smart world people will be
automatically and collaboratively served by the smart devices (e.g.,
watches, mobile phones, computers), smart transportation (e.g., cars,
buses, trains), smart environments (e.g., homes, offices, factories).
• Internet of things targets to connect various objects (e.g., mobile
phones, computers, cars, appliances) with unique addresses, to
enable them interacting with each other and with the world. Further,
green IoT targets at a sustainable smart world, by reducing the
energy consumption of IoT.
Green IOT
• All devices in the smart world are supposed to be
equipped with additional sensory and communication
add-ons so that they can sense the world and
communicate with each other, they will require more
energy.
• The energy efficient procedures (hardware or
software)adopted by IoT either to facilitate reducing
the greenhouse effect of existing applications and
services or to reduce the impact of greenhouse effect
of IoT itself.
Applications
• Smart home
• Industrial Automation
• Smart Health-care
• Smart grid
• Smart city
TECHNOLOGIES
• Identification Technologies
• Cloud Platform
• Network Technologies
• Software and Algorithms
• Hardware
• Data and Signal Processing Technologies
• Power and Energy Storage Technologies
Identification Technology
• Convergence and interoperability of technologies for
identification and authentication that can operate at a
global scale.
• It includes the management of unique identities for
physical objects and devices, and handling of
multiple identifiers for people and locations and
possible cross - referencing among different
identifiers for the same entity and with associated
authentication credentials.
Cloud Platform
• Increasingly used for processing of the huge volume
of data that can be generated by IOT and consumed
by users.
• Resource virtualization and on demand assignment to
promote efficiency in utilization.
• Different Business models(e.g., pay per use, dynamic
pricing) encourage more efficient behavior and life-
cycle management
Network Technologies
• Wireless network technologies have gained more
focus due to their ability to provide unobtrusive wire-
free communication.
• wireless sensor networks promise low power, low
cost object monitoring and networking, constituting a
fundamental technology for the evolution constituting
a fundamental technology for the evolution towards a
truly embedded and autonomous Internet of Things.
Software and Algorithms
• Only with appropriate software will it be possible that
the Internet of Things comes to life as imagined, as an
integral part of the Future Internet.
• It is through software that novel applications and
interactions are realized, and that the network with all
its resources, devices and distributed services
becomes manageable.
Data and signal Processing Technology
• By 2020, trillions of networked sensors will be
deployed around the planet, in the spaces we inhabit,
the systems we use, the devices we carry, and inside our
bodies.
• Sensors are a key enabling technology; with detection,
measurement, computation, and communication, they
can make passive systems active.
• Sensors will be used to measure everything from
acceleration and location to temperature, energy use,
soil chemistry air pollution and health conditions
chemistry, air pollution, and health conditions.
Power and Energy Storage Technology
• Energy storage has become one of the most important
obstacles to the miniaturization of electronic devices,
and today’s embedded wireless technologies such as
Wireless Sensor Networks and Active RFID.
• Energy harvesting is still a very inefficient process
that would require a large amount of research.
• Sources for energy harvesting in embedded devices
could include, among others, vibration, solar
radiation, thermal energy, etc.
Sensor cloud towards green IOT
• sensor-cloud is ``an infrastructure that allows truly
pervasive computation using sensors as an interface
between physical and cyber worlds, the data-compute
clusters as the cyber backbone and the internet as the
communication medium'‘.
• sensor-cloud is ``a unique sensor data storage,
visualization and remote management platform that
leverages powerful cloud computing technologies to
provide excellent data scalability, rapid visualization,
and user programmable analysis'‘.
Future for Internet of Things
• Internet of things in 2020
• Wider technological trends of energy
• Outlook to the future
• Ongoing research
• Intensified research
Internet of Things in 2020
• It is therefore expected that the Internet of things will
become a reality over the next 20 years.
• smart devices wirelessly communicating over hybrid
and ad-hoc networks of devices, sensors and actuators
working in synergy to improve the quality of our lives
and in synergy to improve the quality of our lives and
consistently reducing the ecological impact of
mankind on the planet.
Wider Technological trends of Energy
• Energy issues such as energy harvesting and low-
power chipsets are central to the development of the
IoT.
• The development of new and more efficient and
compact energy storage like batteries, fuel cells, and
printed/polymer batteries as well as new energy
generation devices coupling energy transmission
methods or energy harvesting using energy
conversion will be the key factors for implementing
autonomous wireless smart systems.
Conclusion
• IOT represents a paradigm shift that will
enable smart cities around the world.
• Sensor cloud integration for green IOT is
promising, but research is still in infancy.
References
Q. Han, S. Liang, and H. Zhang, ``Mobile cloud sensing, big data, and
5G networks make an intelligent and smart world,'' IEEE Netw., vol. 29,
no. 2, pp. 4045, Mar./Apr. 2015.
[2] L. Atzori, A. Iera, and G. Morabito, ``The Internet of Things: A
survey,'‘ Comput. Netw., vol. 54, no. 15, pp. 27872805, Oct. 2010.
[3] C. Perera, C. H. Liu, S. Jayawardena, and M. Chen, ``A survey on
Internet of Things from industrial market perspective,'' IEEE Access,
vol. 2, pp. 16601679, Jan. 2014.
[4] L. Da Xu, W. He, and S. Li, ``Internet of Things in industries: A
survey,'‘ IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 22332243, Nov.
2014.
[5] C. Perera, C. H. Liu, and S. Jayawardena, ``The emerging Internet of
Things marketplace from an industrial perspective: A survey,'' IEEE
Trans.Emerg. Topics Comput., to be published.
Green Internet of things for Smart World
Green Internet of things for Smart World

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Green Internet of things for Smart World

  • 1. GREEN INTERNET OF THINGS FOR SMART WORLD Y. Mani Kiran Kumar
  • 2. ABSTRACT Smart world is envisioned as an era in which objects (e.g., watches, mobile phones, computers, cars, buses, and trains) can automatically and intelligently serve people in a collaborative manner. Paving the way for smart world, Internet of Things (IoT) connects everything in the smartworld. Radio Frequency Identification techniques (RFID) and related identification technologies will be the cornerstone of related identification technologies will be the cornerstone of the upcoming Internet of Things (IoT).
  • 3. CONTENTS • Abstract • Introduction • Technologies • Sensor cloud towards green IOT • Future for Internet of Things • Conclusion
  • 4. INTRODUCTION • Internet of thing is that things can communicate to each other without human. The things communicate directly between each other can save the communication energy with user. • With the rapid development of science and technology, the world is becoming ``smart''. Living in such a smart world people will be automatically and collaboratively served by the smart devices (e.g., watches, mobile phones, computers), smart transportation (e.g., cars, buses, trains), smart environments (e.g., homes, offices, factories). • Internet of things targets to connect various objects (e.g., mobile phones, computers, cars, appliances) with unique addresses, to enable them interacting with each other and with the world. Further, green IoT targets at a sustainable smart world, by reducing the energy consumption of IoT.
  • 5. Green IOT • All devices in the smart world are supposed to be equipped with additional sensory and communication add-ons so that they can sense the world and communicate with each other, they will require more energy. • The energy efficient procedures (hardware or software)adopted by IoT either to facilitate reducing the greenhouse effect of existing applications and services or to reduce the impact of greenhouse effect of IoT itself.
  • 6. Applications • Smart home • Industrial Automation • Smart Health-care • Smart grid • Smart city
  • 7. TECHNOLOGIES • Identification Technologies • Cloud Platform • Network Technologies • Software and Algorithms • Hardware • Data and Signal Processing Technologies • Power and Energy Storage Technologies
  • 8. Identification Technology • Convergence and interoperability of technologies for identification and authentication that can operate at a global scale. • It includes the management of unique identities for physical objects and devices, and handling of multiple identifiers for people and locations and possible cross - referencing among different identifiers for the same entity and with associated authentication credentials.
  • 9. Cloud Platform • Increasingly used for processing of the huge volume of data that can be generated by IOT and consumed by users. • Resource virtualization and on demand assignment to promote efficiency in utilization. • Different Business models(e.g., pay per use, dynamic pricing) encourage more efficient behavior and life- cycle management
  • 10. Network Technologies • Wireless network technologies have gained more focus due to their ability to provide unobtrusive wire- free communication. • wireless sensor networks promise low power, low cost object monitoring and networking, constituting a fundamental technology for the evolution constituting a fundamental technology for the evolution towards a truly embedded and autonomous Internet of Things.
  • 11. Software and Algorithms • Only with appropriate software will it be possible that the Internet of Things comes to life as imagined, as an integral part of the Future Internet. • It is through software that novel applications and interactions are realized, and that the network with all its resources, devices and distributed services becomes manageable.
  • 12. Data and signal Processing Technology • By 2020, trillions of networked sensors will be deployed around the planet, in the spaces we inhabit, the systems we use, the devices we carry, and inside our bodies. • Sensors are a key enabling technology; with detection, measurement, computation, and communication, they can make passive systems active. • Sensors will be used to measure everything from acceleration and location to temperature, energy use, soil chemistry air pollution and health conditions chemistry, air pollution, and health conditions.
  • 13. Power and Energy Storage Technology • Energy storage has become one of the most important obstacles to the miniaturization of electronic devices, and today’s embedded wireless technologies such as Wireless Sensor Networks and Active RFID. • Energy harvesting is still a very inefficient process that would require a large amount of research. • Sources for energy harvesting in embedded devices could include, among others, vibration, solar radiation, thermal energy, etc.
  • 14. Sensor cloud towards green IOT • sensor-cloud is ``an infrastructure that allows truly pervasive computation using sensors as an interface between physical and cyber worlds, the data-compute clusters as the cyber backbone and the internet as the communication medium'‘. • sensor-cloud is ``a unique sensor data storage, visualization and remote management platform that leverages powerful cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis'‘.
  • 15. Future for Internet of Things • Internet of things in 2020 • Wider technological trends of energy • Outlook to the future • Ongoing research • Intensified research
  • 16. Internet of Things in 2020 • It is therefore expected that the Internet of things will become a reality over the next 20 years. • smart devices wirelessly communicating over hybrid and ad-hoc networks of devices, sensors and actuators working in synergy to improve the quality of our lives and in synergy to improve the quality of our lives and consistently reducing the ecological impact of mankind on the planet.
  • 17. Wider Technological trends of Energy • Energy issues such as energy harvesting and low- power chipsets are central to the development of the IoT. • The development of new and more efficient and compact energy storage like batteries, fuel cells, and printed/polymer batteries as well as new energy generation devices coupling energy transmission methods or energy harvesting using energy conversion will be the key factors for implementing autonomous wireless smart systems.
  • 18. Conclusion • IOT represents a paradigm shift that will enable smart cities around the world. • Sensor cloud integration for green IOT is promising, but research is still in infancy.
  • 19. References Q. Han, S. Liang, and H. Zhang, ``Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world,'' IEEE Netw., vol. 29, no. 2, pp. 4045, Mar./Apr. 2015. [2] L. Atzori, A. Iera, and G. Morabito, ``The Internet of Things: A survey,'‘ Comput. Netw., vol. 54, no. 15, pp. 27872805, Oct. 2010. [3] C. Perera, C. H. Liu, S. Jayawardena, and M. Chen, ``A survey on Internet of Things from industrial market perspective,'' IEEE Access, vol. 2, pp. 16601679, Jan. 2014. [4] L. Da Xu, W. He, and S. Li, ``Internet of Things in industries: A survey,'‘ IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 22332243, Nov. 2014. [5] C. Perera, C. H. Liu, and S. Jayawardena, ``The emerging Internet of Things marketplace from an industrial perspective: A survey,'' IEEE Trans.Emerg. Topics Comput., to be published.