The
Internet of Things (or shortened ‘IoT’) is a hot topic in today’s world
which carries extraordinary significance in socio-economic and
technical aspects of everyday life. Products designed for consumers,
long-lasting goods, automobiles and other vehicles, sensors, utilities
and other everyday objects are able to become connected among themselves
through the Internet and strong data analytic capabilities and
therefore transform our surroundings. Internet of Things is forecast to
have an enormous impact on the economy; some analysts anticipate almost
100 billion interconnected IoT devices. On the other hand, other
analysts proclaim that IoT devices shall input into the global economy
more than $11 trillion by 2025.
However, the Internet of Things comes with many important
challenges which, if not overcome, could diminish or even put a stop to
the progress of it thus failing to realize all its potential advantages.
One of the greatest challenges is security: the newspapers are filled
with headlines alerting the public to the dangers of hacking
internet-connected devices, identity theft and privacy intrusion. These
technical and security challenges remain and are constantly changing and
developing; at the same time, new legal policies are emerging.
This document’s purpose is to help the Internet Society community
find their way in the discourse about the Internet of Things regarding
its pitfalls, shortcomings and promises.
Many broad ideas and complex thoughts surround the Internet of
Things and in order to find one’s way, the key concepts that should be
looked into as they represent the foundation of circumstances and
problems of IoT are:
- Transformational Potential:
If IoT takes off, a potential outcome of it would be a ‘hyperconnected
world’ where limitations on applications or services that use technology
cease to exist.
- IoT Definitions: although
there is not one universal definition, the term Internet of Things
basically refers to several connected objects, sensors or items (not
considered computers) which create, exchange and control data with next
to none human intervention.
- Enabling Technologies: Cloud
computing, data analytics, connectivity and networking all lead to the
ability to combine and interconnect computers, sensors and networks all
in order to control other devices.
- Connectivity Models: There
are four common communication models and are as following:
Device-to-Device, Device-to-Cloud, Device-to-Gateway, and finally
Back-End Data-Sharing. These models show how flexible IoT devices can be
when connecting and when providing value to their respective users.
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