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Course data sheet
Internet of ThingsH9P43S
Internet of Things (IoT) is a new revolution of the Internet to enable things to be connected anytime, anyplace, with anything and anyone ideally using any path/network and any service. This 2-day course introduces IoT from an all rounded perspective including what technologies are available and used, the application areas and solutions, business benefits, challenges in deploying IoT solutions (such as business integration, security and privacy issues, data management and analysis issues, governance issues) and choosing right technologies for a project.
Audience
This course is designed for all levels of IT managers/consultants/administrators, software developers and project managers who want to learn latest technologies about Internet of Things.
Course objectivesAfter completion of the course, participants will be able to understand:
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What is Internet of Things (IoT) and why IoTis needed.
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The elements in IoT.•
RFID as the core technologies enablingIoT.
• Sensor and sensor network as thecoretechnologies enabling IoT.
H9P43S
2 Days
ILT
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Prerequisites
Participants shall have basic information technology knowledge.
Localization as the coretechnologiesenabling IoT.
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The business ecosystem, scenariosandbusiness models.The key areas that can apply IoT.The different application solutions thatarea available in the market.
The different practical considerationsin evolving an IoT project.
From case studies the way to adoptIoT and to deploy an IoT project.
The future and open directions of IoT.
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Course data sheet Page 2
Introduction to IoT • What is IoT?
• Why IoT?
• Elements in IoT
• RFID
• Wireless Sensor Networks (WSN)
• Addressing schemes
• Data storage and analytics
Core Technology – RFID • Overview of RFID
• RFID technology internals
• RF communications
• Protocol
• Middleware architecture
• RFID business aspects
• Security and Privacy
Core Technology - Sensor and sensor network • Sensing and Sensors
• Motivation for a Network of Wireless Sensors Networks
• Applications
• Health Care
• Pipeline Monitoring
• Structural Health Monitoring
• Traffic Control
• Precision Agriculture
Core Technology – Localization • Defining location
• Methods for determining location • Location Systems (e.g. GPS, RSS-based
indoorlocalization)
Business Ecosystem, Scenarios and Model • Business drivers
• Business ecosystems and scenarios • Business model • Framework/Architecture for IoT business models
IoT Application Areas • Market segments, their size and growth• Key Area #1: Transportation
• Healthcare
• Key Area #3: Connected Home
IoT Application Solutions • Smart Cities •
Smart Agriculture
Evolving the IoT • Business challenges in implementing IoT
Detailed course outline
Visualization•
Underground Mining•
• Coverage and Connectivity issues
Smart Environment
Smart Water
Smart Metering
Security & Emergencies
Retail
Logistics
Industrial Control
Smart Animal Farming
Home Automation
e-Health
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Strategic approach for adopting IoT
Integrating IoT into business processAdaptive and event-driven processesProcesses dealing with unreliable dataProcesses dealing with unreliable resources
Highly distributed processes
Data management and analysis considerations
Security and Privacy considerations
Governance considerations
StandardizationAdoption – Case study
Evolving the IoT
Strategic approach for adoptionChoosing the right technology
Critical success factors
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Future of IoT Architecture evolution
Energy efficient sensing
Secure reprogrammable networks and privacyQuality of Service
New protocols
Participatory sensing
Data mining
Cloud computing
GIS-based visualization
International activities
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H9P43S A.00, January 2019, c04656912
