Learn IoT network architecture and protocols. Master wireless communications for reliable, timely data transmission in resource-constrained IoT environments.
Learn IoT network architecture and protocols. Master wireless communications for reliable, timely data transmission in resource-constrained IoT environments.
This course presents the building blocks of IoT network architecture, helping learners adapt to the fast-changing communications and networking environment of IoT. It focuses on how to set up wireless communications and networking in IoT to ensure network reliability and timely transmission, despite the limited capacity of IoT devices in terms of memory storage, computational power, and energy. The course covers key topics such as MAC protocols, 6TiSCH adaptation layer, 6LoWPAN adaptation layer, and RPL routing protocol, providing both theoretical knowledge and practical skills through quizzes and lab exercises.
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English
What you'll learn
Understand the IoT network architecture and its unique challenges
Master MAC protocols for IoT, including ALOHA and TSCH
Learn about the 6TiSCH adaptation layer and its role in resource management
Explore 6LoWPAN techniques for IPv6 header compression and fragmentation
Gain proficiency in the RPL routing protocol for low-power and lossy networks
Apply theoretical knowledge through practical exercises and quizzes
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
22 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course offers a comprehensive introduction to IoT communications and networking, focusing on the unique challenges posed by resource-constrained IoT devices. Students will learn about the IoT network architecture and various protocols designed to ensure reliable and efficient communication in IoT environments. The curriculum covers key topics such as Medium Access Control (MAC) methods, the 6TiSCH adaptation layer, 6LoWPAN for IPv6 adaptation, and the RPL routing protocol. Through a combination of theoretical lectures, practical examples, and hands-on exercises, participants will gain a deep understanding of how to design and implement effective communication strategies for IoT networks.
Welcome to the IoT Communications and Networks MOOC
Module 1 · 1 Hours to complete
Week 1: Medium Access Control (MAC) Layer
Module 2 · 3 Hours to complete
Week 2: 6TiSCH Adaptation Layer
Module 3 · 2 Hours to complete
Week 3: 6LoWPAN Adaptation Layer
Module 4 · 5 Hours to complete
Week 4: RPL Routing Protocol
Module 5 · 3 Hours to complete
Your opinion about this MOOC
Module 6 · 10 Minutes to complete
Fee Structure
Payment options
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Instructors
Dr. Georgios Z. Papadopoulos: Advancing Research and Education in Cybersecurity and IoT
Georgios Z. Papadopoulos serves as an Associate Professor at IMT Atlantique in Rennes, France, while also holding a position as a Research Scientist at the IRT b<>com in Rennes. He previously worked as a Postdoctoral Researcher at the University of Bristol. Dr. Papadopoulos earned his HDR from the University of Rennes 1 in 2021 and his PhD with honors from the University of Strasbourg in 2015. He has delivered over 20 keynote, tutorial, and invited talks at various international conferences, universities, and research labs worldwide. Actively involved in the organization and program committees of numerous scientific events, such as IEEE CSCN’22 and IEEE GLOBECOM’21, he has also served as an Associate Editor for Wireless Networks, Internet Technology Letters, and Transactions on Emerging Telecommunications Technologies since 2018. With over 80 peer-reviewed publications in computer communications, networks, and cybersecurity, Dr. Papadopoulos participates in the IETF standards organization, contributing multiple drafts to the RAW, ROLL, and DetNet Working Groups. His research interests encompass Industrial IoT, Deterministic Networks, Smart Grid, Wireless Battery Management Systems in Electric Vehicles, Cybersecurity, and Integrated Access and Backhaul for 5G networks. He teaches courses at IMT Atlantique and the University of Rennes 1 and has been invited to deliver short courses globally, including at the University of Buenos Aires and the International Hellenic University, focusing on wireless networks and the Internet of Things.
Associate Professor at IMT Atlantique Specializing in IoT Networking and Game Theory
Remous-Aris Koutsiamanis is an Associate Professor in the DAPI department at IMT Atlantique in Nantes, France, and a member of the STACK2 (LS2N/INRIA) research team, focusing on the networking aspects of edge geo-distributed systems. He previously worked as a postdoctoral researcher at IMT Atlantique in Rennes, specializing in protocols for high-performance Industrial Internet of Things (IIoT) networking. Koutsiamanis earned his PhD from the Democritus University of Thrace in Greece, where he applied game theory to network Quality of Service (QoS) problems. He also holds an MSc in Artificial Intelligence from the University of Edinburgh and a degree in Informatics from the University of Piraeus
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