IoT Networks: Protocols and Infrastructure
Mastering core concepts of IoT architecture and implementation strategies enables engineers to create robust, interconnected systems for modern applications.
Mastering core concepts of IoT architecture and implementation strategies enables engineers to create robust, interconnected systems for modern applications.
This introductory course explores the networks and protocols essential to the Internet of Things (IoT). Students will learn how IoT devices connect to networks, understand data network types, and analyze IoT protocols and standards. The course covers evaluating infrastructure components, designing basic IoT networks, and understanding local (fog) and remote (cloud) processing in IoT systems.
3.6
(5 ratings)
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What you'll learn
Understand the component parts of an IoT network and its connections
Evaluate different infrastructure components and network systems for IoT
Analyze IoT protocols and determine their suitability for various applications
Design basic network structures for IoT applications
Differentiate between fog and cloud processing in IoT systems
Explore data network types and connection methods in IoT
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive overview of IoT networks and protocols, focusing on how the Internet of Things works at a network level. It covers key topics such as IoT network components, connection types, layer models, and protocols specific to IoT applications. Students will learn to evaluate different infrastructure components and network systems, gaining practical skills in designing basic networks for IoT applications. The course explores both local (fog) and remote (cloud) processing in IoT systems, providing a balanced view of current IoT architectures. By the end of the course, participants will be equipped to analyze IoT protocols, determine the best fit for different IoT applications, and design basic IoT network structures.
Fee Structure
Instructors
21 Courses
Pioneering Professor in Assistive Technology and Embedded Systems at Curtin University
Iain Murray AM is a distinguished Professor in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, recognized for his expertise in networking, embedded systems, and assistive technology. With a career spanning over two decades, Murray has made significant contributions to both academia and society, particularly in the field of assistive technology for vision-impaired individuals.
11 Courses
Embedded Systems Expert and Lecturer at Curtin University
Dr. Siavash Khaksar is a lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, specializing in embedded systems and digital hardware-software co-design. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Azad University, an M.Eng in Electrical Engineering with a focus on Embedded Systems from Curtin University, and a Ph.D. from Curtin University, completed in 2024, which focused on assistive technology and the use of motion sensors and machine learning in gamification of rehabilitation.
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3.6 course rating
5 ratings
Frequently asked questions
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