IoT Communications
Master advanced IoT connectivity with RF protocols, mesh networking, and distributed systems for smart device communication.
Master advanced IoT connectivity with RF protocols, mesh networking, and distributed systems for smart device communication.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Hands-on Internet of Things Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master RF communication principles and antenna design
Implement efficient MAC layer protocols for IoT devices
Design and deploy mesh networking solutions
Optimize power consumption in IoT communications
Develop distributed algorithms for geographic routing
Skills you'll gain
This course includes:
6.6 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course delves into advanced IoT communication technologies, focusing on radio frequency (RF) protocols, MAC layer operations, and mesh networking. Students learn about signal propagation, antenna design, spectrum division, and modulation techniques. The curriculum covers essential protocols for efficient data transmission, power management, and network routing. Through hands-on labs and practical applications, learners develop skills in implementing distributed algorithms, geographic routing, and service discovery mechanisms for IoT devices.
Course Overview and Introduction to Radio Frequency Protocols
Module 1 · 3 Hours to complete
Protocols: Media Access Protocol
Module 2 · 2 Hours to complete
Protocols: Mesh Routing
Module 3 · 3 Hours to complete
Protocols: Service Discovery
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Professor of Computer Science
Matthew Caesar is a faculty member at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign, where he focuses on simplifying the management and improving the reliability of distributed systems and networks. He earned his Ph.D. in Computer Science from the University of California, Berkeley, in 2007. His research interests include the design, analysis, and implementation of large-scale distributed systems, with a particular emphasis on network operations, measurement, and availability. Dr. Caesar aims to enhance the performance and availability of Internet infrastructure components such as routing, DNS, and data centers. He teaches various courses related to the Internet of Things and computer networking, including CS 437 (Topics in Internet of Things) and ECE 435 (Computer Networking Laboratory).
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