Principles of Embedded Networked Systems Design
Principles of Embedded Networked Systems Design
William J. Kaiser, University of California, Los Angeles
Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications such as monitoring of borders, infrastructure, health, the environment, automated production, supply chains, homes and places of business. This book details the fundamentals for this interdisciplinary and fast-moving field. The book begins with mathematical foundations and the relevant background topics in signal propagation, sensors, detection and estimation theory, and communications. Key component technologies in ENS are discussed: synchronization and position localization, energy and data management, actuation, and node architecture. Ethical, legal and social implications are addressed. The final chapter summarizes some of the lessons learned in producing multiple ENS generations. A focus on fundamental principles together with extensive examples and problem sets make this text ideal for use on graduate courses in electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS.
- Provides all relevant underlying theory and explains key design principles
- Includes many practical reference designs
- Large number of examples and problems to illustrate the concepts
- Online solutions and lecture notes are available for instructors
Product details
January 2009Paperback
9780521095235
548 pages
244 × 170 × 28 mm
0.86kg
8 b/w illus. 20 tables 169 exercises
Available
Table of Contents
- 1. Introduction to embedded network systems
- 2. Representation of signals
- 3. Signal propagation
- 4. Sensor principles
- 5. Source detection and identification
- 6. Digital communications
- 7. Multiple source estimation and multiple access communications
- 8. Networking
- 9. Network position and synchronization services
- 10. Energy management
- 11. Data management
- 12. Articulation, mobility, and infrastructure
- 13. Node architecture
- 14. Network data integrity
- 15. Experimental systems design
- 16. Ethical, legal and social implications of ENS
- 17. Design principles for ENS
- Appendix A. Gaussian Q-function
- Appendix B. Optimization
- Index.
