3 Review(s)

Addressing and identification protocols, along with their descriptions, are discussed in Chapter 4 Cloud is major component of IoT as they help to control things from remote places, process and feedback data, etc. Chapter 5 has an in-depth discussion on cloud technology from IoT perspective Data analytics is another associated field of IoT discussed in Chapter 6, which looks into different machine learning algorithms and real-time data analytics. Relevant and important case studies are discussed in Chapter 7, including examples from energy, medical, and vehicle industries.||About the Author: Shriram K. Vasudevan is an Embedded System Engineer with 13 years of experience in IT and academics. He has authored 40 books for various reputed publishers across the globe. He has also written a lot of research papers. He is the winner of the Hack Harvard Hackathon, Harvard University, 2019 in the Elderly Care category. He has also been awarded/recognized by Intel, IEI (India), Wipro, Infosys, ICTACT, and VIT University for his technical contributions. Abhishek S. Nagarajan is a young and dynamic computer science engineer who is working as a Data Scientist at [24]7.ai Bangalore. He is more indulged in data sciences and machine learning for IoT. He has authored six books and ten research articles in various leading journals. He is passionate about mass personalization and personalized solutions for generic problems using data sciences. R. M. D. Sundaram is a Software Architect at Wipro Limited, Germany with over a decade of experience in embedded software design and development. He has worked on the software architecture and development for several products in use today, including infotainment systems, Android based smartphones and tablets, 4G LTE and 5G modems, set-top boxes and IoT devices. Sundaram holds a MTech in Computer Vision and Image Processing.