Authors:
- Comprehensive and balanced coverage provides a rounded and solid foundation to students and practitioners to build upon when designing IoT systems and components, and to confidently evaluate their options when choosing components and partners/vendors to complement their solutions
- Reader-minded approach: starts by describing the nature and significance of issues and problems so that readers are better motivated to understand solutions, including why they matter, where they fit, and how they work
- System-first approach: starts by describing the big picture and how the overall system works so that readers can interpret subsequent in-depth topical coverage in context
- Systems aspects and integration: in addition to describing the functional and foundational aspects of all major IoT system components, the book emphasizes integration throughout, i.e. how the components and building blocks are combined to create complete IoT systems. This is in contrast to most alternative approaches that tend to describe piece parts as independent isolated topics, without much guidance on how to put them together
- Emphasizes IoT data and information modeling, interoperability and the related standards. Data interoperability is viewed as a key technical requirement for IoT
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
This comprehensive overview of IoT systems architecture includes in-depth treatment of all key components: edge, communications, cloud, data processing, security, management, and uses. Internet of Things: Concepts and System Design provides a reference and foundation for students and practitioners that they can build upon to design IoT systems and to understand how the specific parts they are working on fit into and interact with the rest of the system. This is especially important since IoT is a multidisciplinary area that requires diverse skills and knowledge including: sensors, embedded systems, real-time systems, control systems, communications, protocols, Internet, cloud computing, large-scale distributed processing and storage systems, AI and ML, (preferably) coupled with domain experience in the area where it is to be applied, such as building or manufacturing automation.
Written in a reader-minded approach that starts by describing the problem (why should I care?), placing it in context (what does this do and where/how does it fit in the great scheme of things?) and then describing salient features of solutions (how does it work?), this book covers the existing body of knowledge and design practices, but also offers the author’s insights and articulation of common attributes and salient features of solutions such as IoT information modeling and platform characteristics.
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Authors and Affiliations
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IoTsense, Dublin, USA
Milan Milenkovic
About the author
Milan Milenkovic earned M.Sc. degree in Computer Science from Georgia Institute of Technology and a Ph.D. in Electrical and Computer Engineering from the University of Massachusetts at Amherst. He has given invited talks at academic and industrial conferences and has authored a number of journal and conference papers, industry technical reports, standards, and U.S. and international patents. He is the author of the textbook Operating Systems: Concepts and Design (McGraw-Hill), a monograph on distributed database systems, and an IEEE tutorial on multimedia systems. He is a Fulbright Scholar, an ACM Distinguished Engineer and a Senior Member of IEEE.
Bibliographic Information
Book Title: Internet of Things: Concepts and System Design
Authors: Milan Milenkovic
DOI: https://doi.org/10.1007/978-3-030-41346-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-41345-3Published: 19 May 2020
Softcover ISBN: 978-3-030-41348-4Published: 19 May 2021
eBook ISBN: 978-3-030-41346-0Published: 19 May 2020
Edition Number: 1
Number of Pages: XII, 306
Number of Illustrations: 35 b/w illustrations, 21 illustrations in colour
Topics: Computer Communication Networks, Cyber-physical systems, IoT, Machine Learning, Communications Engineering, Networks, Information Systems Applications (incl. Internet)