Embedded System Design
Methodologies and Issues
- 1st Edition - September 14, 2023
- Imprint: Morgan Kaufmann
- Authors: Lawrence J. Henschen, Julia C. Lee
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 4 7 0 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 4 7 1 - 0
Embedded Systems Design: Methodologies and Issues presents methodologies for designing these systems and discusses major issues, both present and future, that designers must consid… Read more
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Request a sales quoteEmbedded Systems Design: Methodologies and Issues presents methodologies for designing these systems and discusses major issues, both present and future, that designers must consider in bringing products with embedded processing to market. The book starts from the first step after product proposal (behavioral modeling) and goes through the steps for modeling internal operations. Specific areas of focus include methods for designing safe, reliable, and robust embedded systems. Sections cover selection of processors and related hardware as well as issues involved in designing related software. Finally, the book present issues that will occur in systems designed for the Internet of Things. This book is for junior/senior/MS students in computer science, computer engineering, and electrical engineering who intend to take jobs in industry designing and implementing embedded systems and Internet of Things applications.
- Focuses on the design of embedded systems, starting from product conception through high-level modeling and up to the selection of hardware, software, and network platforms
- Discusses the trade-offs of the various techniques presented so that engineers will be able to make the best choices for designs for future products
- Contains a section with three chapters on making designs that are reliable, robust, and safe
- Includes a discussion of the two main models for the structure of the Internet of Things, as well as the issues engineers will need to take into consideration in designing future IoT applications
- Uses the design of a bridge control system as a continuing example across most of the chapters in order to illustrate the differences and trade-offs of the various techniques
Junior, senior, and MS students in computer engineering, electrical engineering, and computer science
1. Introduction to Internet of Things (IoT) and Embedded Systems
Part 1: Modelling
2. First Stage Modelling – Modelling Interaction between the System and the Environment
3. Finite State Machines
4. Modelling Physically Distributed Embedded Systems
5. Petri Nets for Modelling Concurrency and Shared Resources
Part 2: Building Robust, Safe, and Correct Systems
6. Designing Systems that are Safe and Robust
7. Verification, Validation, and Evaluation
8. Testing
Part 3: Hardware
9. Introduction and Overview
10. Processing Elements
11. Memories
12. Field Programmable Gate Arrays
13. Devices, Sensors, and Actuators
14. Energy
15. Hardware-Software Mapping
Part 4: Software
16. Operating Systems
17. Scheduling
18. Semaphores
19. Optimization and Other Special Considerations
Part 5: Communications
20. Introduction to Communications and Messages
21. Networks
22. The Internet
23. Low-level Communication Protocols
24. Cloud vs. Edge vs. Local Computing
Part 6: The Internet of Things
25. Reference Models for the Internet of Things
26. IoT Issues
Part 1: Modelling
2. First Stage Modelling – Modelling Interaction between the System and the Environment
3. Finite State Machines
4. Modelling Physically Distributed Embedded Systems
5. Petri Nets for Modelling Concurrency and Shared Resources
Part 2: Building Robust, Safe, and Correct Systems
6. Designing Systems that are Safe and Robust
7. Verification, Validation, and Evaluation
8. Testing
Part 3: Hardware
9. Introduction and Overview
10. Processing Elements
11. Memories
12. Field Programmable Gate Arrays
13. Devices, Sensors, and Actuators
14. Energy
15. Hardware-Software Mapping
Part 4: Software
16. Operating Systems
17. Scheduling
18. Semaphores
19. Optimization and Other Special Considerations
Part 5: Communications
20. Introduction to Communications and Messages
21. Networks
22. The Internet
23. Low-level Communication Protocols
24. Cloud vs. Edge vs. Local Computing
Part 6: The Internet of Things
25. Reference Models for the Internet of Things
26. IoT Issues
- Edition: 1
- Published: September 14, 2023
- No. of pages (Paperback): 528
- Imprint: Morgan Kaufmann
- Language: English
- Paperback ISBN: 9780443184703
- eBook ISBN: 9780443184710
LH
Lawrence J. Henschen
Lawrence J. Henschen is Professor Emeritus of Electrical and Computer Engineering at Northwestern University. Dr. Henschen received the B.A., M.A., and Ph.D. degrees in Mathematics from the University of Illinois at Urbana-Champaign in 1966, 1968, and 1971 respectively. In 1971 he joined the faculty of Northwestern University as Assistant Professor and was promoted to Associate and then to Full Professor in the Electrical Engineering and Computer Science Department. He served as Associate Dean of Students in The Graduate School from 2000 to 2009. Dr. Henschen's research spans topics from artificial intelligence to real-time embedded systems. He has graduated 71 PhD students. Eighteen of these have taken positions as professors. Four have risen to become department chairs, deans, or associate provosts. Three have started their own companies. Dr. Henschen has authored or co-authored over 130 scientific articles. He has taught courses at levels ranging from freshman to advanced graduate in topics including programming, artificial intelligence, intelligent databases, embedded systems, and the Internet of Things.
Affiliations and expertise
Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USAJL
Julia C. Lee
Julia C. Lee received MS and PhD degrees in Computer Science in 1982 and 1992, respectively, from Northwestern University. Dr. Lee worked in the Computer Division of AT&T from 1982 to 1987. She worked for Computer Science Corporation (CSC) as a Senior Member of the Technical Staff (SMTS) from 1987 to 1990. She worked for the Decision and Information Science Division of Argonne National Laboratory as assistant computer scientist from 1991 to 1997. During this time, she did research in areas of AI, Deductive Database, and Text processing algorithms/tools. From 1997 to 2002, she worked as MTS for Lucent technology. From 2003 to 2009, she worked for the School of Continuing Studies at Northwestern University as instructor, teaching 8 different computer science courses for adult students. From 2009 to 2012, she worked as IT consultant for the Graduate School of Northwestern University. From 2012 to 2017, she worked for the McCormick School of Engineering and Applied Science as Senior Web Application/Software Developer; during this time, she also co-taught the “Embedded System” class in the Department of Electrical and Computer Engineering. After retiring from Northwestern University IT, she is continuing free-lance research related to IoT and embedded systems and publishing papers in conferences.
Affiliations and expertise
Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USARead Embedded System Design on ScienceDirect