Internet of Things Course Agenda

 

Session 1:

 What is IoT?

  • A definition of IoT and associated concepts
  • Common elements of IoT:  network connectivity, data, devices and sensors/actuators
  • Mobile IoT: 3GPP standardised technologies
  • Internet of Things (IoT) versus Machine-to-Machine (M2M)
Session 2:

 IoT versus traditional voice and messaging services

  • Outline of the key differences between IoT and traditional voice and messaging services
  • Key drivers for IoT

 Forecasts on the growth of IoT

  • Connections forecasts for IoT
  • Revenue forecasts for IoT
  • Socio-economic benefits of IoT
  • Impact of government policies on IoT
Session 3:

 A high level technology overview of mobile-enabled IoT

  • The technology of IoT networks
  • IoT value chain and connectivity technologies
  • The impact of the global dimension of IoT
  • IoT and spectrum

Connected vehicles

  • Why connectivity is key to next generation vehicles
  • Connected car revenue by use case
  • Cellular Vehicle-to-Everything (C-V2X) technology
Session 4:

 Spectrum, 5G and IoT technologies

  • Spectrum for IoT solutions
  • The importance of spectrum harmonization
  • Comparison of licensed and unlicensed IoT technologies
  • IoT under 5G
  • ·Benefits of 5G for IoT

Interactive activities

  • Matching IoT applications to technologies
Session 5:

 Commonly used business models in IoT

  • Revenue sharing
  • Cost savings sharing
  • Product sharing
  • Product as a service
  • Performance as a product
Session 6:

 Case studies

  • Using IoT to monitor farm water levels
  • An IoT home care solution
  • Smart city street lighting
  • IoT-enabled home alarm system
  • Monitoring manufacturing machinery performance
Session 7:

 Policy and regulatory considerations for IoT

  • Policy levers for enabling growth and innovation
  • Supporting a flexible regulatory approach to IoT
  • Building consumer trust
  • Regulatory issues related to numbering
  • Taxes and duties
  • Switching in the context of IoT
  • Policy considerations related to data localisation