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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 in graduate courses on electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS.Read more
- 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
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"…this volume represents a real mine of information…anyone working in the field would benefit from owning a copy."
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- Date Published: January 2009
- format: Paperback
- isbn: 9780521095235
- length: 548 pages
- dimensions: 244 x 170 x 28 mm
- weight: 0.86kg
- contains: 8 b/w illus. 20 tables 169 exercises
- availability: 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
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
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