The Internet of things is the inter-networking of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. Each IoT entity is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Many experts (Ericsson, Cisco and IBM) estimate that the IoT will consist of almost 50 billion objects by 2020. In such scenario, connectivity, interoperability, and scalability are the key aspects that will enable the fast development of this technology.
How will all this data will transported, stored and analyzed ? What is the cost associated to such operations ? How will we keep IoT data secure and private ? These are just some of the critical issues that must be addressed in order to make such future scenario plausible and realistic.
The aim of the course is to provide students with a general overview about the emerging of the IoT technology in our society, the current components of typical IoT devices and the trends for the future. The course will cover IoT design considerations, providing the students an overview with practical examples of the (i.e., energy, bandwidth, distance) constraints and the key networking components to interface their devices to the Internet (i.e., using edge computing, fog computing), collect sensor data (i.e., to cloud), analyse data and trigger actions.
The main topics are:
- Smart Things as Cyber-Physical Systems
- Tagging Things: Radio Frequency Identification
- Wireless Sensor Networks
- Mobile Networks
- Positioning and Localization
- Data-centric networking: acquisition, aggregation, estimation and fusion
- Fog and Edge Computing
- Benefits and Risks (Security and Privacy) of Internet of Things
- Smart Things as Cyber-Physical Systems
- Tagging Things: Radio Frequency Identification
- Wireless Sensor Networks
- Mobile Networks
- Positioning and Localization
- Data-centric networking: acquisition, aggregation, estimation and fusion
- Fog and Edge Computing
- Benefits and Risks (Security and Privacy) of Internet of Things
ECTS breakdown: 6 ECTS = 150 hours; 20h attendance of lecture, 128h preparation for lecture, postprocessing of lecture, homeworks, final project, 2h exam.
The enrollment will be performed using the MyTI portal https://ti.tuwien.ac.at/admin/ starting from 15th September. The enrollment will be close on the 2nd of October. The max number of students for this course is 15. Please register soon !!!
