About the content
The IoT world represents billions of sophisticated objects such as sensors, actuators and meters that are deployed nearly everywhere, in homes, hospitals, factories, cities, and connected to the Internet. But with limited capacity in terms of memory storage, computational power, and energy, how these objects can assure network reliability and timely transmission?
That is what you'll learn in this course: how can we set up wireless communication and networking in IoT to achieve these goals?
By presenting the building blocks of IoT network architecture, this MOOC will help the learners to adapt to the fast-changing environment in the communication for Industrial IoT.
WHAT YOU WILL LEARN
- How to schedule a collision-free communication between two devices (with TSCH protocol, MSF)
- How to compress, fragment, and reassemble IPv6 data packets adapted to IoT constraints (with 6Lowpan, 6LFF)
- How make connected devices learn their best path toward a given destination (with RPL protocol)
- notions of networking (TCP/IP stack),
- basic notions of programming for the Laboratory sessions (i.e., C, Python)
WEEK 1: Medium Access Control (MAC) Methods for IoT
WEEK 2: 6LoWPAN Adaptation Layer
Associate Professor, IMT Atlantique
Institut Mines-Télécom is France’s premier group of engineering and management graduate schools. Closely connected to industry, Institut Mines-Télécom is focused on the transformations of the 21st century in 4 key areas: Digital technologies, Energy, Ecology and Production. We train the engineers, managers, and PhDs who will be tomorrow’s leaders in these transformations.
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.