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9780521840125

Principles of Embedded Networked Systems Design

by
  • ISBN13:

    9780521840125

  • ISBN10:

    0521840120

  • Format: Hardcover
  • Copyright: 2005-10-31
  • Publisher: Ingram Pub Services

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Summary

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.

Table of Contents

Preface xiii
Acknowledgments xv
List of Abbreviations
xvi
Embedded network systems
1(11)
Introduction
1(2)
ENS design heuristics
3(1)
Remote monitoring
4(3)
RFID
7(1)
Enacted spaces
8(1)
Historical context
9(1)
Further reading
10(2)
Representation of signals
12(24)
Probability
12(5)
Stochastic processes
17(7)
Introduction to information theory
24(6)
Summary
30(1)
Further reading
30(1)
Problems
31(5)
Signal propagation
36(25)
Basic wave propagation phenomena
36(8)
Radio signals
44(6)
Optical signals
50(2)
Acoustic and seismic signals
52(4)
Biochemical signals
56(1)
Summary
57(1)
Further reading
57(1)
Problems
58(3)
Sensor principles
61(48)
Sensor system ideal architecture
61(2)
Sensor system non-ideal operation
63(1)
Sensor system standard figures of merit
64(8)
Environmental sensors
72(5)
Motion and force sensors
77(11)
Transducers for electromagnetic phenomena
88(5)
Chemical and biochemical sensors
93(3)
Electronic noise sources and noise reduction in sensor systems
96(4)
Reducing sensor system errors by feedback control methods
100(3)
Actuators for microsensor systems
103(1)
Calibration
104(1)
Summary
105(1)
Further reading
106(1)
Problems
107(2)
Source detection and identification
109(43)
Introduction to detection and estimation theory
109(2)
Detection of signals in additive noise
111(16)
Estimation of signals in additive noise
127(12)
Hierarchical detection and identification systems
139(7)
Summary
146(1)
Further reading
147(1)
Problems
148(4)
Digital communications
152(43)
Characterization of communication signals
152(3)
Communication over the Gaussian channel
155(7)
Synchronization
162(3)
Communication over dispersive channels
165(11)
Communication over dynamic channels
176(10)
Summary
186(1)
Further reading
187(1)
Problems
187(8)
Multiple source estimation and multiple access communications
195(34)
Interference models
195(3)
Source separation
198(3)
Basic multiple access techniques
201(6)
Multiple access in interference
207(11)
Heterogeneous networks
218(1)
Summary
219(1)
Further reading
220(2)
Problems
222(7)
Networking
229(45)
Network topology
229(2)
Network self-organization
231(4)
Routing
235(7)
Latency and congestion
242(4)
Interaction of signal processing and networking in sensor networks
246(6)
Network information theory
252(13)
Summary
265(1)
Further reading
266(2)
Problems
268(6)
Network position and synchronization services
274(35)
Principles of location
274(9)
Network synchronism
283(8)
Network location
291(7)
Error sources in network synchronization and location
298(5)
Summary
303(1)
Further reading
304(1)
Problems
305(4)
Energy management
309(22)
Energy sources
309(2)
Energy consumption of sensors, circuits, and communications
311(6)
Energy optimization
317(8)
Summary
325(1)
Further reading
326(1)
Problems
327(4)
Data management
331(37)
Database design principles
331(9)
Data flow in sensor networks
340(12)
Higher-level reasoning
352(9)
Summary
361(1)
Further reading
361(2)
Problems
363(5)
Articulation, mobility, and infrastructure
368(26)
Articulation
368(9)
Interaction of mobile and static nodes
377(7)
Infrastructure-assisted mobility
384(5)
Summary
389(1)
Further reading
390(1)
Problems
391(3)
Node architecture
394(45)
Introduction to computing platform architecture
395(13)
ENS node design principles
408(19)
Selected sensor node designs
427(8)
Summary
435(1)
Further reading
435(2)
Problems
437(2)
Network data integrity
439(24)
Encryption
440(5)
Data reliability in sensor networks
445(8)
Compression and data compartmentalization
453(2)
Authenticated service delivery
455(2)
Summary
457(1)
Further reading
457(2)
Problems
459(4)
Experimental systems design
463(12)
Deciding on priorities
463(1)
Design iteration
464(2)
Simulations, tools, and testing
466(5)
Project branching
471(2)
Users in the design team
473(1)
Summary
474(1)
Further reading
474(1)
Ethical, legal, and social implications of ENS
475(19)
Technology and society
475(5)
Regulation of information technology
480(5)
ENS: information technology regulating the physical world
485(7)
Summary
492(1)
Further reading
492(2)
Design principles for ENS
494(5)
The physical world may not be abstracted away
494(1)
Play the probability game
495(1)
Hierarchy is usually unavoidable
495(1)
Innovate only as much as necessary
496(1)
Scale matters
497(1)
Teamwork
498(1)
Appendix A: Gaussian Q function
499(2)
Appendix B: Optimization
501(9)
B.1 Basic tools of numerical analysis
501(4)
B.2 Convex optimizations
505(2)
B.3 Non-convex optimizations
507(1)
B.4 Further reading
508(2)
Index 510

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