This document discusses the history and evolution of the Internet of Things (IoT) from its origins in 2005 to modern applications. It describes key characteristics of IoT including sensing, processing, connectivity, and intelligence. Examples of early IoT projects are provided that highlight challenges overcome like lack of standards and limited scalability. The document also discusses user-centric approaches to IoT design and future directions like integrating AI and ensuring privacy and user acceptance.
Many technical communities are vigorously pursuing
research topics that contribute to the Internet of Things (IoT).
Nowadays, as sensing, actuation, communication, and control become
even more sophisticated and ubiquitous, there is a significant
overlap in these communities, sometimes from slightly different
perspectives. More cooperation between communities is encouraged.
To provide a basis for discussing open research problems in
IoT, a vision for how IoT could change the world in the
distant future is first presented. Then, eight key research topics
are enumerated and research problems within these topics are
discussed.
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2. Topic 10: IoT for Smart
Environments
• History & evolution of IoT
• Characteristics of IoT
• Projects & case studies
• User-centric approaches & issues to IoT
2
3.
4. Forecast of IoT connections - Report by Cambridge Consultants, 2017
5. History & Evolution of IoT
• Internet of Things, Embedded Internet, Ubiquitous
Computing, Pervasive Computing, Ambient
Intelligence … same but different?
• IoT, first report published in 2005 at a World
Summit in Tunis
• Three important initial functions highlighted:
tracking, sensing and decision-making
7. History & Evolution of IoT
• 2012-2014: object identification, network
connectivity, human, interaction, smart, bringing
people, process, data and things together,
connected, improve quality;
• 2015-2017: commercial, products, insights,
analyse, big data, smart, safer, efficient;
8. IoT Characteristics
[Early Days]
• Convergence – any ‘thing’, any device
• Computation – anytime, always on
• Collection – any data, any service
• Communication – any path, any network
• Connectivity – any place, any where
9. IoT Characteristics
• Entity-based concept (physical and virtual objects)
• Distributed execution (design and processing)
• Interactions (machine and users)
• Distributed data (storage and portability)
• Scalability (infrastructure)
• Abstraction (rapid prototyping)
• Availability (networks)
• Fault tolerance (user-friendliness)
• Event-based (modular architecture)
• Works in real time (speed and performance)
10. IoT Characteristics
[Modern Days]
• devices (including physical or virtual, power, processing)
• data capture (including sensing and data exchange)
• communications (including network connectivity, protocols,
authentication and encryption)
• analysis (including big data analytics, AI and machine learning)
• information (including insightful forecasts and predictions)
• value (including operational efficiency, improvement in
performance)
11. IoT Characteristics
[Generalised]
• Sensing (S)
• Processing (P)
• Connectivity (C)
• Context-Awareness (CA)
• Internet (I)
• Internet Controlled (IC)
• Mobile Controlled (MC)
• Intelligence, self-configuring, self-monitoring (Int)
12. Case Study Examples
Plant-Dorm - Towards Embedded Internet System Applications
• Developed in 2003.
•Challenges met:
• Lack of standards (reducing availability of off-the-shelf components)
• Lack of primitive tools (increasing the need to design everything from the
bottom up)
• Limited scalability
• Limited economies of scale (making system more expensive)
• Lack of crowd based communities (reducing the level of support available)
13. Case Study Examples
The Smart Alarm Clock
• Developed in 2013.
•Challenges met:
•Choosing the best Internet-of-Things platform for the application from the
myriad offering available.
•Choosing the development tools for rapid prototyping (somewhat linked to the
choice of platform)
•Choosing the crowd to be part of (this can be a balance between support from
large crowds and innovation from newer products with less users)
•Provision of some user customisation (a trend that had grown since the earlier
pDorm product)
14. Case Study Examples
BREAL - A blended reality approach to the Internet of Things
• Developed in 2015-2017
•Challenges met:
•Devising computational paradigms and mechanisms to enable
Internet-of-Things devices to become smart-objects
•Creating visual representations and simulations of Internet-of-
Things objects
•Maintaining real-time synchronisation between the real and virtual
Internet-of-Things objects (test were conducted between countries
separated by many thousands of miles).
17. Future Directions
• IoT architectures
• AI Paradigms
• End-user programming
• Privacy & acceptance
• C o m m e r c i a l i s i n g
research work
• Smart homes
• Robotics
• Mixed Reality
• Edge computing