1. IoT Solutions
for Sustainable
Development of
Smart Cities
Polestar Solutions &
Services India Pvt Ltd

2. Globally, it is expected that the population of “megacities”, or cities
that house more than 10 mn people, will increase from 33 in 2018 to
43 in 2030. And, by 2030, it is projected that cities with at least 1 mn
inhabitants will house 28% of the 10 bn plus global population.
With the rise in global population, it has become imperative for
governments to design a sustainable and environmentally-friendly future,
to ensure the well-being of the people and curtail global warming.
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3. IoT Data Analytics: The Key To Designing
Environmentally Sustainable Smart Cities
Analytics and Internet of Things are emerging as a pivotal
technology that can help governments reach success milestones.
The technology uses data gathered via sensors, actuators, smart-
phones and smart applications, which is then collected and analyzed.
Cost-effective and accessible technologies using analytics from connected
devices are helping the cities monitor in real-time, implement evidence-
based actions and track their progress.
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4. Smart and environmentally
friendly cities will create a
large-scale positive impact on
the health of our entire planet.
Below are crucial areas where IoT
solutions and data analytics
technologies are helping the cities
reduce their environmental footprint
and the collective impact of their
prospering communities.

5. 1. Waste Management
Data-driven waste management is helping
municipalities across the globe reduce their
OPEX, save costs, improve citizen’s health and
become environmentally responsible.
Cutting-edge technologies such as sensors
fitted into sewer pipes, IoT enabled smart
garbage systems, preventive maintenance,
machine to machine connectivity and route
optimization are promising to transform the
entire process of waste collection to become
more efficient.

6. 2. Reducing Plastic Consumption
Governments are using tracking technology
through RFID tags, and collecting important
data points such as per capita waste
generation rates, disposal rates, greenhouse
gas emissions savings, diversion and recycling
rates, participation rates. The technology is
helping them to design and implement better
solid waste management strategies.

7. 3. Smarter resource usage
By using sensor data and deploying machine
learning models, smart grid networks can
predict demand and behaviour patterns to
match the supply-demand. Smart resource
management is ensuring that there is no
resource shortage/ overshoot with applications
in smart energy metering, smart utility
management, traffic control, public transport
management, and building management.

8. 4. Less carbon dioxide and
methane emissions
Activists around the world are
collaborating to design and develop
open-source hardware and software
design for pollution monitoring with low
cost, accessible and remote monitoring
solutions. One of the difficulties with
pollution crackdown has been a lack of
data. Low-cost sensors are going to
change that giving the power of real-time
pollution monitoring at multiple locations.

9. 5. Land Use management
Geospatial analytics and surveillance
technology are helping city planners better
allocate the city land use and increase the
green cover. Smart applications, spatial
big data and analytics are helping in
bottom-up land use planning. Data
analytics is helping governments set up
infrastructure close-by and enable easy
access to citizens. Low-cost surveillance,
integrated strategies and big data
analytics are helping them to understand
and actively monitor socio-environmental
system behaviour.

10. 6. Renewable energy
Analytics is helping governments integrate
renewable energy usage into their traditional
energy usage. Data is also helping to increase the
efficiency of public transport and carpool. IoT is
helping renewable energy companies bring
efficiency into their processes and reduce costs,
by remote monitoring.

11. IoT For Smart Sustainable Cities of The Future
Smart cities are going to be the future of human civilization, and
it is essential to combine technology and intelligent planning to
create a people-friendly city.
The need is a flexible, scalable, secure and governed platform
that will provide the decision-makers with a unified platform to
track, analyze and manage smart devices.
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