Internet Of Things (IoT)
Prof. Dr. Khondokar Habibul Kabir
Professor, EEE, IUT
Contact: 01768-451-451
habib@iut-dhaka.edu
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Prof Dr. Habib Kabir
Prof Dr. Habib Kabir
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Internet Of Things
The internet of things, or IoT, is a system of interrelated computing devices, mechanical and
digital machines, objects, animals or people that are provided with
unique identifiers (UIDs)
and the ability to transfer data over a network without requiring human-to-human or human-tocomputer interaction.
IPv4
IPv6
Feedback 1: What is IoT and How it works?
Prof Dr. Habib Kabir
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The internet is like a digital fabric woven in to the lives of us in one way or another.
The internet is known for connecting people
but there’s a new internet emerging which connects
etc) and hence is named as Internet of Things.
How it works?
Things + (Sense & communicate)
Things are taken and are added the ability to
sense, to control, to touch, to see, to
communicate and then given the opportunity
to interact and collaborate with other things.
IoT devices share the sensor data they collect by
connecting to an IoT gateway or other edge
device where data is either sent to the cloud to be
analyzed or analyzed locally. The things do most
of the work without human intervention,
although people can interact with the devices to set
them up, give them instructions or access the data.
Feedback 1: What is IoT and How it works?
things (smartphone, smart watch, smart car, lights, fans,
Prof Dr. Habib Kabir
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Benefits of IoT:
The internet of things offers a
number of benefits to organizations,
enabling them to:
• monitor their overall business
processes
• improve the customer experience;
• save time and money
• enhance employee productivity
• integrate and adapt business
models
• make better business decisions
• generate more revenue.
Future of IoT: It is estimated by 2020 there will be 50 billion objects connected to
the internet. It is also estimated that 7.6 billion people will be at that time and for
person 6.6 objects will be connected to the internet.
Prof Dr. Habib Kabir
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•
The Internet of Things (IoT) is the network of
physical objects or "things" embedded with
electronics, software, sensors, and network
connectivity, which enables these objects to
collect and exchange data.
• The Internet of Things (IoT) allows
people and things to be connected
Anytime, Anyplace, with Anything and
Anyone, ideally using Any path/network
and Any service.
Feedback 2: What does IoT allow?
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Prof Dr. Habib Kabir
Prof Dr. Habib Kabir
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Billions of devices
Devices for 2020
Year
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Prof Dr. Habib Kabir
Prof Dr. Habib Kabir
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7 Layers Model of IoT
Feedback 3: Write down the names of 4 and 7 Layers of IoT
Prof Dr. Habib Kabir
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Various Names, One Concept
• M2M (Machine to Machine)
• Ambient Networking (Osaka University)
• “Internet of Everything” (Cisco Systems)
• “World Size Web” (Bruce Schneier)
• “Skynet” (Terminator movie)
Interconnection of Things or Objects or Machines, e.g., sensors, actuators, mobile phones,
electronic devices, home appliances, any existing items and interact with each other via Internet.
Prof Dr. Habib Kabir
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The IoT was initially most interesting to business and manufacturing, where its application is
sometimes known as machine-to-machine (M2M), but the emphasis is now on filling our
homes and offices with smart devices, transforming it into something that's relevant to
almost everyone.
◊ IoT APPLICATION AREAS : The IoT application covers “smart” environments/spaces in
domains such as
1.IoSL (Internet of smart living) includes Remote Control Appliances, Weather, Smart Home
Appliances, Safety Monitoring, Intrusion Detection Systems, Energy and Water Use, etc.
2.IoSC ( Internet of smart cities) includes Structural Health, Lightning, Safety, Transportation,
Smart Parking, Waste Management etc.
Feedback 4: Write down the names of 7 Applications of IoT
Prof Dr. Habib Kabir
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3. IoSE (Internet of smart environment) includes Air Pollution monitoring, Forest Fire Detection,
Weather monitoring, Water Quality, River Floods, Protecting wildlife etc.
4. IoSI (Internet of smart industry) includes Explosive and Hazardous Gases, Maintenance and
repair etc
5. IoSH (Internet of smart health) includes Patients Surveillance, Medical Fridges, Fall Detection,
Dental etc
6.
IoSA (internet of smart agriculture) includes Green
Farming/Tracking, Offspring Care, field Monitoring etc
Houses,
Compost,
Animal
7. IoE (internet of Energy) includes Smart Grid, Wind Turbines/ Power house, Power Supply
Controllers, Photovoltaic, Installations etc
Feedback 4: Write down the names of 7 Applications of IoT
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Prof Dr. Habib Kabir
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Prof Dr. Habib Kabir
Prof Dr. Habib Kabir
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Big Data
• Big data is a term used to refer to the study and applications of data sets that are so big and complex that
traditional data-processing application software are inadequate to deal with them.
• Big data challenges include:
o capturing data,
o data storage,
o data analysis,
o search,
o sharing,
o transfer,
o visualization,
o querying,
o updating,
o information privacy and data source.
• There are a number of concepts associated with big data:
• originally there were 3 concepts (3V) Volume, Variety, Velocity. Other concepts later attributed with big data are
veracity (i.e. How much noise is in the data) and value.
Prof Dr. Habib Kabir
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What is Big Data?
IoT and Big Data
• Extremely large and complex data sets that may be analysed computationally to reveal
patterns, trends, and associations, especially relating to human behaviour and
interactions.
• Having innumerous applications such as:
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• Walmart handles more than 1 million customer transactions every hour.
• Facebook handles 40 billion photos from its user base.
• Decoding the human genome originally took 10years to process; now it can be achieved in one week.
Prof Dr. Habib Kabir
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10 Vs of Big Data:
Feedback 5: Write down the names of 10Vs of Big Data.
Prof Dr. Habib Kabir
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Smart Energy offers a set of flexible and innovative solutions that enable customers to
monitor their energy consumption and apply specific savings measures for each
business sector, not only achieving optimal energy management, but also significant
savings on their bills.
Smart energy & Internet of things (IoT)
= Internet of Energy (IoE)
Demand Side Management (DSM) with consumer participation (IoT)
Feedback 5: What is Smart Energy System?
Prof Dr. Habib Kabir
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Smart energy
• Smart energy is a cost-effective and
sustainable energy system in which
renewable
energy
production,
infrastructures, and consumption are
integrated and coordinated through
energy services, active users, and
enabling technologies.
• Big data is an ascendant technological
concepts and includes smart energy
services, such as intelligent energy
management, energy consumption
prediction and exploitation of
Internet of Things (IoT) solutions.
Prof Dr. Habib Kabir
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Internet of Energy (IoE)
Energy Mix
Feedback 6: What is VPP?
Prof Dr. Habib Kabir
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Smart Energy
• Smart Energy is methods for utilizing energy properly
• According to the windeurope report, 24.6% of the total
electricity spent within the European Union borders.
• Here is a demonstration of using everyday wasted road side
wind energy using turbines.
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We're in the midst of an exciting smart energy transformation. New stakeholders are joining the energy
marketplace as they install solar panels on homes and businesses and purchase electric vehicles where
power is stored.
The IoT is a key driver of this smart grid evolution, enabling innovative ways to leverage devices, data
and remote access to create new business opportunities for a variety of stakeholders.
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Energy Networking
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Internet of Energy
• A smart Energy usage can meeting energy demand and to better manage energy consumption in residential,
commercial, and industrial sectors.
• Each device is interfaced with a data acquisition module that is an IoT object with a unique IP address resulting in a
large mesh wireless network of devices forming smart grid.
• The data is centralized for further processing and analysis; accumulated in the utility's server as Big Data.
• A prototype can be built and tested in Arduino or Raspberry pi.
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Internet of Energy (IoE) and Energy Networking
Future Energy is a former accreditation scheme for green electricity, designed to support and
stimulate electricity generation from renewable energy sources.
The renewable energy sector is trying to take advantage of big data and machine learning in the best way
possible.
4 ways ,big data is changing the future of renewable energy sector are
1.Predicting Weather Conditions Based on Historical Data
Solar and wind forecasting technology can predict weather conditions well in advance, allowing
renewable plants to increase their production significantly.
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2. Streamlining Operation and Maintenance Processes
With the help of big data analytics, wind and solar power plant can streamline their operations and
management (O&M) processes to a great extent.
3. Reducing Renewable Energy Production Costs
Due to the latest big data and predictive analysis technology, renewable energy companies can now
produce more energy without yielding additional infrastructure costs. The ever-growing ability to
extract useful information from big data is one of the reasons behind the gradual decline in the
renewable energy prices.
4. Making Renewable Energy Projects More Bankable
With big data tools, companies can forecast energy generation based on past performance,
weather, and other parameters accurately. It can also help determine the precise quantity of wind
turbines or solar panels required to produce the desired output.
Prof Dr. Habib Kabir
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THE DEFINITION OF A SMART ENERGY SYSTEM:
• A smart energy system is a cost-effective, sustainable and secure energy system in
which renewable energy production, infrastructures and consumption are integrated
and coordinated through energy services, active users and enabling technologies.
• The overall aim of the energy system is to provide energy services, requested by the
customers, in a reliable, sustainable and cost efficient way.
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A Smart Energy System is defined by the following key principals:
• It is a 100% renewable energy system
• It consumes a sustainable level of bioenergy
• It utilises the synergies in the energy system to maximise efficiency and reduce costs
• It is affordable. In other words, it does not significantly increase the cost of energy compared to a
fossil fuel based energy system (sometimes it can reduce the cost and maximum increases of up to
10-15% are expected)
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Smart energy & ad hoc network
• ad-hoc smart metering
• Ad hoc home smart lighting
• Ad hoc street light networks
Prof Dr. Habib Kabir
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Smart energy & Internet of things (IoT)= Internet of Energy (IoE)
Demand Side Management (DSM) with consumer participation (IoT)
Some Application Areas
• System architecture and protocol design of IoT for smart energy systems (e.g., electrical, gas, heat generation, transmission,
distribution and consumption systems)
• Reliable, low-latency communication networks in IoT for smart energy systems
• Planning and management of sensors for smart energy systems (e.g., phasor measurement unit, smart metering infrastructure
for electrical/gas/heat grids)
• IoT data analytics for smart energy systems
• IoT-based optimization and control for smart energy systems
• Intelligent software-controlled renewable energy generation (e.g., solar, wind, geothermal, hydro, combined heat and power)
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IoT-based solutions for energy storage and electric/alternative energy vehicle management
• IoT-based energy management for data centers, smart homes, smart buildings, and smart cities (e.g., HVAC control, district
heating and cooling)
• Cyber security and privacy in IoT for smart energy systems
• Fog computing and mobile edge computing for smart energy systems
• Experiences from IoT testbeds and field-trials for smart energy systems
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Feedback 7:
Write down the connections of
Technologies/Methods and
Applications.
Prof Dr. Habib Kabir